| | | | | | 1 | | | |
| | | | | | 3 | | | |
| | | | | | 62 | | | |
| | | | | | 76 | | | |
| | | | | | 100 | | | |
| | | | | | 115 | | | |
| | | | | | 200 | | | |
| | | | | | 254 | | | |
| | | | | | 257 | | | |
| | | | | | 259 | | |
|
Ranking
|
| |
Company
|
| |
Market share in terms
of revenue |
|
| | | | | | |
(%)
|
|
|
1
|
| |
Company A(1)
|
| |
~37
|
|
|
2
|
| | WeRide | | |
~22
|
|
|
3
|
| |
Company B(2)
|
| |
~10
|
|
|
4
|
| |
Company C(3)
|
| |
~7
|
|
|
5
|
| |
Company D(4)
|
| |
~6
|
|
|
Company
|
| |
OEM
Partners |
| |
Operation
Partners |
| |
Ride-sharing
Platforms |
| |
End Users
|
| ||||||||||||
|
WeRide
|
| | | | √ | | | | | | √ | | | | | | √ | | | | | | √ | | |
|
Company E(1)
|
| | | | √ | | | | | | X | | | | | | √ | | | | | | √ | | |
|
Company A(2)
|
| | | | √ | | | | | | √ | | | | | | √ | | | | | | √ | | |
|
Company D(3)
|
| | | | √ | | | | | | X | | | | | | X | | | | | | √ | | |
| | | |
WeRide
|
| |
Company E(1)
|
| |
Company A(2)
|
| |
Company D(3)
|
|
|
Offerings
|
| |
•
Robotaxi
•
Robobus
•
Robovan
•
Robosweeper
•
ADAS
|
| |
•
Robotaxi
•
Robotruck
•
ADAS
|
| |
•
Robotaxi
•
Robo logistics
vehicle
|
| |
•
Robotaxi
|
|
|
Fleet size (robotaxi)*
|
| | ~400 | | | ~250 | | | ~800 | | | ~2,300 | |
|
Countries for operation (robotaxi)**
|
| | 4 | | | 1 | | | 1 | | | 1 | |
|
Cities for operation (robotaxi)**
|
| | 5 | | | 4 | | | 3 | | | 11 | |
|
Start of public robotaxi operation
|
| | 2019 | | | 2021 | | | 2020 | | | 2021 | |
|
No regulatory discipline**
|
| | √ | | | X | | | X | | | X | |
|
Market share in terms of international robotaxi revenue, %, 2024***
|
| | ~10 | | | ~2 | | | ~88 | | | ~0 | |
|
Ranking
|
| |
Company
|
| |
Market share in terms
of revenue |
|
| | | | | | |
(%)
|
|
|
1
|
| | WeRide | | |
~36
|
|
|
2
|
| |
Company F(1)
|
| |
~32
|
|
|
3
|
| |
Company G(2)
|
| |
~14
|
|
|
Ranking
|
| |
Company
|
| |
Market share in terms
of revenue |
|
| | | | | | |
(%)
|
|
|
1
|
| |
Company B(1)
|
| |
~62
|
|
|
2
|
| |
Company H(2)
|
| |
~26
|
|
|
3
|
| | WeRide | | |
~9
|
|
|
4
|
| |
Company I(3)
|
| |
~1
|
|
|
Ranking
|
| |
Company
|
| |
Market share
|
|
| | | | | | |
(%)
|
|
|
1
|
| |
Company C(1)
|
| |
~41
|
|
|
2
|
| | WeRide | | |
~32
|
|
|
3
|
| |
Company J(2)
|
| |
~27
|
|
|
Year
|
| |
Milestone
|
|
|
2017
|
| | We commenced business operation | |
| | | | Our Company was incorporated in the Cayman Islands | |
|
2018
|
| | We launched one of China’s 1st L4 autonomous driving testing on open road | |
|
2019
|
| | We launched the world’s 1st open-to-public fare-charging L4 robotaxi service | |
|
2020
|
| | We launched the world’s 1st purpose-built L4 robobus designed for open road | |
| | | | We obtained the 1st driverless testing permit in China | |
|
2021
|
| | We launched the world’s 1st L4 robovan for intra-city goods delivery | |
| | | |
We were the 1st pure-play autonomous driving company to obtain fully driverless test permits in both China and the United States
|
|
|
2022
|
| | We partnered with Bosch on co-developing ADAS | |
| | | | We launched pilot operation of the world’s 1st L4 robosweeper designed for open road | |
| | | |
We were the 1st to obtain permits for road testing and demonstration applications in Shenzhen
|
|
|
2023
|
| | We launched China’s 1st open-to-public fare-charging L4 robobus service | |
| | | | We obtained the 1st national license for autonomous driving cars in UAE | |
| | | |
We obtained the Singapore M1 and T1 Autonomous Vehicles Licenses in a record-breaking three months’ time
|
|
|
Year
|
| |
Milestone
|
|
| | | | We commenced driverless L4 commercial operation in Beijing | |
|
2024
|
| |
We partnered with Renault Group to deploy self-driving vehicles for automated road transport systems in Europe
|
|
| | | |
Chery EXEED launched SUV STERRA ET equipped with ADAS system co-developed by Bosch and us
|
|
| | | |
We released the latest generation of robotaxi—GXR with proprietary L4 autonomous driving systems and the advanced WeRide Sensor Suite
|
|
| | | |
Uber and us launched the largest local robotaxi fleet and commenced commercial operation in Abu Dhabi
|
|
| | | | We were the 1st to obtain driverless robovan testing permit on open road in China | |
| | | |
Our WeRide S6 and WeRide S1 were granted the M1 and T1 autonomous vehicle licenses, respectively, from the Singapore Land Transport Authority
|
|
| | | | Our ADSs were listed on Nasdaq under the symbol “WRD” | |
|
2025
|
| | We launched pilot projects to deploy robobus and robotaxi in Switzerland | |
| | | | We unveiled the Robovan W5 | |
| | | | We and Renault Group launched our first autonomous robobus trial in Spain | |
| | | |
We brought robotaxis to Dubai in partnership with Dubai’s Road and Transport Authority and Uber
|
|
| | | | We introduced eight autonomous robotaxi pilot operation routes in central Guangzhou | |
| | | | We commenced fully driverless L4 robotaxi testing in Abu Dhabi | |
| | | |
We launched testing or deployment of our robotaxis and other autonomous driving products in Saudi Arabia
|
|
| | | |
We became the first and only company authorized to road test autonomous logistics vehicles in Huangpu, Guangzhou, with the district’s inaugural permit for robovan W5
|
|
| | | |
Our robobus operated as the first autonomous vehicle without a safety officer on board in Southeast Asia
|
|
| | | |
We launched the HPC 3.0 high-performance computing platform, jointly developed with Lenovo and powered by NVIDIA’s latest DRIVE AGX Thor chips
|
|
| | | | Our robotaxi service expanded to Shanghai, the tenth city worldwide | |
| | | |
We and Chery unveiled the CER, a new-generation pre-installed mass-produced robotaxi model
|
|
| | | | Our robotaxi was granted Saudi Arabia’s first robotaxi autonomous driving permit | |
| | | |
We received approval to conduct late-night testing of our robotaxi on public roads within the Beijing High-Level Autonomous Driving Demonstration Zone
|
|
| | | |
Our robobus was granted Belgium’s first federal test permit for a Level 4 autonomous shuttle, making us the only technology company in the world with products holding autonomous driving permits in seven countries
|
|
|
Subsidiary
|
| |
Place of
establishment |
| |
Date of establishment
|
| |
Principal business activities
|
|
| Wenyuan Guangzhou | | | PRC | | | January 19, 2018 | | | Autonomous driving technology development and service, and vehicle sales | |
| Wenyuan Wuxi | | | PRC | | | September 23, 2022 | | | Autonomous driving technology development and service, and vehicle sales | |
| | | |
Series seed
financing |
| |
Series A
financing |
| |
Series B
financing |
| |
Series C
financing |
| |
Series D
financing |
| |
Series D+
financing |
| |
Nasdaq
listing |
|
|
Implied pre-money valuation of our Company(1)
|
| |
US$246.1 million
|
| |
US$500.0 million(3)
|
| |
US$1.1 billion(4)
|
| |
US$3.0 billion(5)
|
| |
US$4.0 billion
|
| |
US$5.0 billion
|
| |
US$5.2 billion(6)
|
|
|
Implied post-money valuation of our Company(2)
|
| |
US$308.8 million
|
| |
US$586.8 million(3)
|
| |
US$1.4 billion(4)
|
| |
US$3.3 billion(5)
|
| |
US$4.3 billion
|
| |
US$5.1 billion
|
| |
US$5.3 billion
|
|
|
Time of completion
|
| |
June 2018
|
| |
March 2019
|
| |
June 2022
|
| |
August 2022
|
| |
June 2023
|
| |
November 2023
|
| |
October 2024
|
|
|
Name
|
| |
Number
of Class A Ordinary Shares(1) |
| |
Number of
Class B Ordinary Shares |
| |
Number of
Shares(1) |
| |
Approximate
percentage of total issued share capital of our Company as of the Latest Practicable Date(2)/ immediately following the completion of the [REDACTED](3) |
| |
Approximate
percentage of voting rights in our Company on a one vote per Share basis as of the Latest Practicable Date(2)/ immediately following the completion of the [REDACTED](3) |
| |
Approximate
percentage of voting rights in our Company assuming each Class B Ordinary Share entitles the holder to exercise ten votes as of the Latest Practicable Date(2)/ immediately following the completion of the [REDACTED](3) |
| |
Approximate
percentage of voting rights in our Company assuming each Class B Ordinary Share entitles the holder to exercise 40 votes as of the Latest Practicable Date(2)/ immediately following the completion of the [REDACTED](3) |
| |||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | |
(%)
|
| |
(%)
|
| |
(%)
|
| |
(%)
|
| ||||||||||||
| WVR Beneficiaries, Directors, and chief executive | | ||||||||||||||||||||||||||||||||||||||||||
|
Dr. Han
|
| | | | — | | | | | | 41,249,590 | | | | | | 41,249,590 | | | | | | [4.4/[REDACTED]] | | | | | | [4.4/[REDACTED]] | | | | | | [28.8/[REDACTED]] | | | | | | [53.6/[REDACTED]] | | |
|
Dr. Li
|
| | | | 27,129,666 | | | | | | 13,564,833 | | | | | | 40,694,499 | | | | | | [4.3/[REDACTED]] | | | | | | [4.3/[REDACTED]] | | | | | | [11.4/[REDACTED]] | | | | | | [18.5/[REDACTED]] | | |
| Senior management | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Dr. Hua Zhong (鍾華), or Dr. Zhong
|
| | | | 16,573,442 | | | | | | — | | | | | | 16,573,442 | | | | | | [1.8/[REDACTED]] | | | | | | [1.8/[REDACTED]] | | | | | | [1.2/[REDACTED]] | | | | | | [0.5/[REDACTED]] | | |
| Shareholders interested in 5% or more of the issued Shares | | ||||||||||||||||||||||||||||||||||||||||||
|
Yutong entities
|
| | | | [67,044,482] | | | | | | — | | | | | | [67,044,482] | | | | | | [7.1/[REDACTED]] | | | | | | [7.1/[REDACTED]] | | | | | | [4.7/[REDACTED]] | | | | | | [2.2/[REDACTED]] | | |
|
Qiming entities(4)
|
| | | | 62,865,042 | | | | | | — | | | | | | 62,865,042 | | | | | | [6.7/[REDACTED]] | | | | | | [6.7/[REDACTED]] | | | | | | [4.4/[REDACTED]] | | | | | | [2.0/[REDACTED]] | | |
|
Alliance Ventures
|
| | | | 63,680,080 | | | | | | — | | | | | | 63,680,080 | | | | | | [6.8/[REDACTED]] | | | | | | [6.8/[REDACTED]] | | | | | | [4.4/[REDACTED]] | | | | | | [2.1/[REDACTED]] | | |
| Other Shareholders | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Other Shareholders(5) in
aggregate(6) |
| | | | [646,259,195] | | | | | | — | | | | | | [646,259,195] | | | | | | [68.9/[REDACTED]] | | | | | | [68.9/[REDACTED]] | | | | | | [45.1/[REDACTED]] | | | | | | [21.0/[REDACTED]] | | |
|
[REDACTED] participating in the [REDACTED](6)
|
| | | | [REDACTED] | | | | | | — | | | | | | [REDACTED] | | | | | | [-/[REDACTED]] | | | | | | [-/[REDACTED]] | | | | | | [-/[REDACTED]] | | | | | | [-/[REDACTED]] | | |
|
Total
|
| | | | [REDACTED] | | | | |
|
54,814,423
|
| | | | | [REDACTED] | | | | |
|
100.0/100.0
|
| | | |
|
100.0/100.0
|
| | | |
|
100.0/100.0
|
| | | |
|
100.0/100.0
|
| |
|
Person
|
| |
Capacity
|
| |
Number and Class of
Shares subject to lock-up requirement immediately following the completion of the [REDACTED](1) |
| |
Percentage of Shares
subject to lock-up requirement immediately following the completion of the [REDACTED](1) |
| |
Lock-up period for a
Commercial Company |
|
| | | | | | | | | |
(%)
|
| | | |
|
Dr. Han
|
| |
Founder, chairman of our Board, executive Director, CEO, and WVR Beneficiary
|
| |
41,249,590 Class B Ordinary Shares(2)
|
| |
[REDACTED]
|
| |
The period commencing on the date of this document and ending on the date which is 12 months from the [REDACTED]
|
|
|
Dr. Li
|
| |
Co-founder, executive Director, CTO, and WVR Beneficiary
|
| |
27,129,666 Class A Ordinary Shares(3)
|
| |
[REDACTED]
|
| |||
| | | | | | |
13,564,833 Class B Ordinary Shares(4)
|
| |
[REDACTED]
|
| |||
|
Dr. Zhong
|
| |
Senior vice president
|
| |
16,573,442 Class A Ordinary Shares
|
| |
[REDACTED]
|
|
|
Specialist
Technology Products |
| |
Specialist
Technology Industry Acceptable Sectors |
| |
Key Function
Analysis |
| |
Major
Customer Type |
| |
Business Model
|
| |
Pricing and Fee Model
|
| |||
|
Robotaxi and related services
|
| | | | |
Electric and autonomous vehicles
|
| |
We developed robotaxis with fully driverless L4 autonomous driving capabilities.
|
| |
Ride-hailing platforms, shared mobility companies, passengers
|
| |
We typically generate revenue from robotaxi sales, and recurring fees based on ongoing operational and technical support services and/or service fees based on variable performance milestones. We may generate revenue from ride-hailing services.
|
| |
Customers are generally required to pay a one-time fee upon delivery of robotaxis as consideration for the vehicle, and recurring fees for ongoing services on a periodic basis (invoiced monthly or quarterly), and/or service fees upon achievement of certain performance milestones.
For ride-hailing services offered on WeRide Go, we charge passengers taxi fare on a per trip basis.
|
|
|
Other L4 vehicles and related services
|
| | Robobus | | | Electric and autonomous vehicles | | |
We developed L4 autonomous driving vehicles that are capable of operating completely driverless.
Such L4 vehicles are designed to address needs
|
| |
Public transportation companies, private enterprises
|
| |
We typically generate revenue from robobus sales, and recurring fees based on ongoing operational and technical support services.
|
| |
Customers are generally required to pay a one-time fee upon delivery of robobuses as consideration for the vehicle, and recurring fees for ongoing services on a periodic basis (invoiced monthly or quarterly).
|
|
|
Specialist
Technology Products |
| |
Specialist
Technology Industry Acceptable Sectors |
| |
Key Function
Analysis |
| |
Major
Customer Type |
| |
Business Model
|
| |
Pricing and Fee Model
|
| |||
| | | | | | | | | |
across various use cases on open road, including in public transportation, logistics and sanitation industries.
|
| | | | | | | | | |
| | | | Robovan | | |
Electric and autonomous vehicles
|
| | | | |
Logistics companies
|
| |
We may offer vehicle plus services, or only services to customers. We typically generate revenue from robovan sales, if applicable, and recurring fees based on ongoing operational and technical support services.
|
| |
Customers are generally required to pay a one-time fee upon delivery of robovans, if applicable, and recurring fees for ongoing services on a periodic basis (invoiced monthly or quarterly).
|
|
| | | | Robosweeper | | |
Electric and autonomous vehicles
|
| | | | |
City sanitation companies, private enterprises
|
| |
We may offer vehicle plus services, or only services to customers. We typically generate revenue from robosweeper sales, if applicable, and recurring fees based on ongoing operational and technical support services.
|
| |
Customers are generally required to pay a one-time fee upon delivery of robosweepers, if applicable, and recurring fees for ongoing services on a periodic basis (invoiced monthly or quarterly).
|
|
|
Other technology services
|
| | | | |
Electric and autonomous vehicles; artificial intelligence
|
| |
Leveraging our AI capabilities, algorithms infrastructure, tool chain and data, we offer technology services in autonomous driving and ADAS as well as broader applications.
|
| |
Automotive and other technology companies
|
| |
We typically charge fixed fees and/or volume-based service fees.
|
| |
Customers are generally required to pay based on usage of services.
|
|
| |
|
| |||
| |
Robotaxi GXR (Geely Farizon model)
|
| |
Robotaxi (Nissan model)
|
|
| |
|
| |||
| |
Robobus (Yutong model)
|
| |
Robobus (Golden Dragon model)
|
|
| |
|
| |||
| |
Robovan (JMC-Ford model)
|
| |
Robovan W5
|
|
| |
|
| |||
| |
Robosweeper S1
|
| |
Robosweeper S6
|
|
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||
|
Metrics (Cumulative)
|
| |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
Countries with testing and commercial activities
|
| | | | 5 | | | | | | 5 | | | | | | 8 | | | | | | 7 | | | | | | 10 | | |
|
Countries with testing activities(1)
|
| | | | 4 | | | | | | 4 | | | | | | 8 | | | | | | 7 | | | | | | 9 | | |
|
Robotaxi
|
| | | | 2 | | | | | | 2 | | | | | | 4 | | | | | | 3 | | | | | | 4 | | |
|
Robobus
|
| | | | 4 | | | | | | 4 | | | | | | 8 | | | | | | 7 | | | | | | 9 | | |
|
Robosweeper
|
| | | | 1 | | | | | | 1 | | | | | | 3 | | | | | | 3 | | | | | | 4 | | |
|
Robovan
|
| | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | |
|
Countries with commercial activities(1)(2)
|
| | | | 2 | | | | | | 2 | | | | | | 5 | | | | | | 3 | | | | | | 7 | | |
|
Robotaxi
|
| | | | 2 | | | | | | 2 | | | | | | 3 | | | | | | 2 | | | | | | 4 | | |
|
Robobus
|
| | | | 2 | | | | | | 2 | | | | | | 4 | | | | | | 3 | | | | | | 7 | | |
|
Robosweeper
|
| | | | 1 | | | | | | 1 | | | | | | 3 | | | | | | 1 | | | | | | 3 | | |
|
Robovan
|
| | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | |
|
Countries where we hold autonomous driving permits(1)
|
| | | | 2 | | | | | | 4 | | | | | | 4 | | | | | | 4 | | | | | | 5 | | |
|
Fleet size(3) of vehicles sold
|
| | | | 156 | | | | | | 178 | | | | | | 269 | | | | | | 191 | | | | | | 341 | | |
|
Fleet size of self-operated vehicles
|
| | | | 383 | | | | | | 476 | | | | | | 820 | | | | | | 614 | | | | | | 973 | | |
| | | |
For the Year Ended
December 31, |
| |
For the Six Months
Ended June 30, |
| ||||||||||||||||||||||||
|
Metrics (During Year or Period)
|
| |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
Number of business customers
|
| | | | 21 | | | | | | 36 | | | | | | 91 | | | | | | 42 | | | | | | 75 | | |
|
Number of new business customers
|
| | | | 14 | | | | | | 25 | | | | | | 70 | | | | | | 21 | | | | | | 39 | | |
|
Specialist Technology Products
|
| |
Use Case
|
| |
Launch
|
| |
Start of
Commercial Activities |
| ||||||
|
L4 Autonomous Driving Vehicles and Related Services
|
| |
Robotaxi
|
| | | | 2017 | | | | | | 2019 | | |
| | | |
Robobus
|
| | | | 2020 | | | | | | 2021 | | |
| | | |
Robosweeper
|
| | | | 2022 | | | | | | 2022 | | |
| | | |
Robovan
|
| | | | 2021 | | | | | | 2023 | | |
|
Specialist Technology Product
|
| |
Launch of
Pilot Project |
| |
Start of
Revenue Generation |
| ||||||
|
Other Technology Services
|
| | | | 2019 | | | | | | 2020 | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage
of total revenue |
| |
Business
relationship since |
| |
Products/Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer A
|
| |
155,933
|
| |
29.6%
|
| |
2022
|
| |
ADAS research and
development services |
| | A company in China mainly engaged in automobile parts and system research, development and manufacturing, which is a subsidiary of a leading multinational engineering and technology company headquartered in Germany | |
|
2
|
| |
Customer B
|
| |
93,596
|
| |
17.7%
|
| |
2022
|
| |
Operational and technical
support services |
| | A state-owned enterprise in China mainly engaged in public transportation services | |
|
3
|
| |
Customer C
|
| |
64,562
|
| |
12.2%
|
| |
2022
|
| | Robobus; Operational and technical support services | | | A state-owned enterprise in China mainly engaged in the sales of new energy vehicle and related technology research and service | |
|
4
|
| |
Customer D(1)
|
| |
57,047
|
| |
10.8%
|
| |
2021
|
| | Robobus; Operational and technical support services | | | A state-owned enterprise in China mainly engaged in public transportation services | |
|
5
|
| |
Yutong Group(2)
|
| |
44,530
|
| |
8.4%
|
| |
2020
|
| | Robobus; Operational and technical support services | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment | |
| | | |
Total
|
| |
415,668
|
| |
78.8%
|
| | | | | | | | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer A
|
| |
222,292
|
| |
55.3%
|
| |
2022
|
| |
ADAS research and
development services |
| | A company in China mainly engaged in automobile parts and system research, development and manufacturing, which is a subsidiary of a leading multinational engineering and technology company headquartered in Germany | |
|
2
|
| |
Yutong Group(3)
|
| |
29,098
|
| |
7.2%
|
| |
2020
|
| | Robobus; Operational and technical support services | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment | |
|
3
|
| |
Customer E
|
| |
23,832
|
| |
5.9%
|
| |
2021
|
| | Robobus; Operational and technical support services | | | A private company in the United Arab Emirates mainly engaged in AI powered geospatial solutions, digital transformation and business solutions service | |
|
4
|
| |
Customer F(4)
|
| |
19,408
|
| |
4.8%
|
| |
2019
|
| | Operational and technical support services | | | A company in China mainly engaged in automobile research and development and related technology consultation and service, which is a subsidiary of a Japanese multinational automobile manufacturer | |
|
5
|
| |
Customer G
|
| |
13,003
|
| |
3.2%
|
| |
2023
|
| | Robobus; Operational and technical support services | | | A state-owned enterprise in China mainly engaged in public transportation services | |
| | | |
Total
|
| |
307,633
|
| |
76.6%
|
| | | | | | | | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer A
|
| |
88,220
|
| |
24.4%
|
| |
2022
|
| |
ADAS research and
development services |
| | A company in China mainly engaged in automobile parts and system research, development and manufacturing, which is a subsidiary of a leading multinational engineering and technology company headquartered in Germany | |
|
2
|
| |
Customer H
|
| |
25,781
|
| |
7.1%
|
| |
2024
|
| | Intelligent data service | | | A subsidiary of a China’s leading technology and internet company | |
|
3
|
| |
Customer I(1)
|
| |
23,602
|
| |
6.5%
|
| |
2024
|
| |
Operational and technical
support services |
| | A branch of a state-owned enterprise in China mainly engaged in public transportation services | |
|
4
|
| |
Customer F(4)
|
| |
17,893
|
| |
5.0%
|
| |
2019
|
| |
Related sensor suites;
operational and technical support services |
| | A company in China mainly engaged in automobile research and development and related technology consultation and service, which is a subsidiary of a Japanese multinational automobile manufacturer | |
|
5
|
| |
Customer J
|
| |
13,837
|
| |
3.8%
|
| |
2024
|
| | Robotaxi | | | A subsidiary of a multinational marketplace company in the mobility and delivery sector | |
| | | |
Total
|
| |
169,333
|
| |
46.8%
|
| | | | | | | | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/ Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer H
|
| |
33,050
|
| |
16.6%
|
| |
2024
|
| | Intelligent data service | | | A subsidiary of a China’s leading technology and internet company | |
|
2
|
| |
Customer J
|
| |
25,784
|
| |
12.9%
|
| |
2024
|
| | Robotaxi | | | A subsidiary of a multinational marketplace company in the mobility and delivery sector | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/ Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
3
|
| |
Customer K
|
| |
14,477
|
| |
7.3%
|
| |
2024
|
| | Intelligent data service | | | The operator of a leading lifestyle platform in China that combines user-generated content with social commerce | |
|
4
|
| |
Customer L
|
| |
13,388
|
| |
6.7%
|
| |
2025
|
| | Robotaxi | | | A leading Chinese automotive manufacturer listed on the Stock Exchange, specializing in the development, production, and sales of passenger vehicles | |
|
5
|
| |
Customer M
|
| |
9,737
|
| |
4.9%
|
| |
2024
|
| | Robosweeper & robobus | | | A state-owned company in China mainly engaged in municipal management such as environmental sanitation and landscaping management | |
| | | |
Total
|
| |
96,436
|
| |
48.4%
|
| | | | | | | | | |
| | |||||||||||||||||||
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage
of total purchase(1) |
| |
Business
relationship since |
| |
Products/Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Yutong Group(2)
|
| |
168,862
|
| |
26.8%
|
| |
2021
|
| | Vehicles | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment, with two subsidiaries listed on Shanghai Stock Exchange | |
|
2
|
| |
Guangzhou Yuji
Technology Co., Ltd. (廣州禹跡科技有限公司)(3) |
| |
30,274
|
| |
4.8%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
3
|
| |
Supplier A(4)
|
| |
22,700
|
| |
3.6%
|
| |
2019
|
| | Vehicles | | | A private company in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
|
4
|
| |
Supplier B
|
| |
20,011
|
| |
3.2%
|
| |
2019
|
| | Computing server | | | A company in China mainly engaged in research and development, manufacturing of HPC, AI servers and intelligent manufacturing products, and related service, which is a subsidiary of an advanced computing solutions designer and provider listed on Taiwan Stock Exchange | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage
of total purchase(1) |
| |
Business
relationship since |
| |
Products/Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
5
|
| |
Supplier C
|
| |
19,228
|
| |
3.0%
|
| |
2019
|
| | Sensor suites parts | | | A Nasdaq-listed company in China mainly engaged in research, development and sales of LiDAR products | |
| | | |
Total
|
| |
261,075
|
| |
41.4%
|
| | | | | | | | | |
| | |||||||||||||||||||
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage
of total purchase(1) |
| |
Business
relationship since |
| |
Products/Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Guangzhou Yuji
Technology Co., Ltd. (廣州禹跡科技有限公司)(3) |
| |
111,532
|
| |
21.4%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
2
|
| |
Supplier C
|
| |
46,148
|
| |
8.9%
|
| |
2019
|
| | Sensor suites parts | | | A Nasdaq-listed company in China mainly engaged in research, development and sales of LiDAR products | |
|
3
|
| |
Supplier A(4)
|
| |
19,643
|
| |
3.8%
|
| |
2019
|
| | Vehicles | | | A private company in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
|
4
|
| |
Yutong Group(5)
|
| |
18,377
|
| |
3.5%
|
| |
2021
|
| | Vehicles | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment, with two subsidiaries listed on Shanghai Stock Exchange | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage
of total purchase(1) |
| |
Business
relationship since |
| |
Products/Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
5
|
| |
Supplier D
|
| |
14,433
|
| |
2.8%
|
| |
2023
|
| | Vehicles | | | A company integrating bus product research and development, manufacturing and sales, which is a subsidiary of a leading bus manufacturer in China listed on Shanghai Stock Exchange | |
| | | |
Total
|
| |
210,134
|
| |
40.4%
|
| | | | | | | | | |
| | |||||||||||||||||||
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage of
total purchase |
| |
Business
relationship since |
| |
Products/Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Guangzhou Yuji
Technology Co., Ltd. (廣州禹跡科技有限公司) |
| |
90,055
|
| |
13.6%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
2
|
| |
Yutong Group(6)
|
| |
71,042
|
| |
10.7%
|
| |
2021
|
| | Vehicles | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment, with two subsidiaries listed on Shanghai Stock Exchange | |
|
3
|
| |
Supplier A(4)
|
| |
38,265
|
| |
5.8%
|
| |
2019
|
| | Vehicles | | | A state-owned enterprise in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage of
total purchase |
| |
Business
relationship since |
| |
Products/Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
4
|
| |
Supplier E
|
| |
24,208
|
| |
3.7%
|
| |
2021
|
| | IDC server and equipment | | | A private company headquartered in Guangzhou, mainly engaged in the digital new infrastructure service field | |
|
5
|
| |
Supplier B
|
| |
22,494
|
| |
3.4%
|
| |
2019
|
| | Computing server | | | A company in China mainly engaged in research and development, manufacturing of HPC, AI servers and intelligent manufacturing products, and related service, which is a subsidiary of an advanced computing solutions designer and provider listed on Taiwan Stock Exchange | |
| | | |
Total
|
| |
246,064
|
| |
37.2%
|
| | | | | | | | | |
| | |||||||||||||||||||
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage of
total purchase |
| |
Business
relationship since |
| |
Products/ Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Supplier E
|
| |
92,831
|
| |
12.4%
|
| |
2021
|
| | IDC server and equipment | | | A private company headquartered in Guangzhou, mainly engaged in the digital new infrastructure service field | |
|
2
|
| |
Guangzhou Yuji
Technology Co., Ltd. (廣州禹跡科技有限公司) |
| |
32,379
|
| |
4.3%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage of
total purchase |
| |
Business
relationship since |
| |
Products/ Services
Purchased |
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
3
|
| |
Supplier F
|
| |
44,863
|
| |
6.0%
|
| |
2024
|
| | Thor Autonomous driving controller | | | A subsidiary of a global technology company listed on the Stock Exchange, specializing in innovative PCs, smart devices, infrastructure solutions, and services | |
|
4
|
| |
Supplier G
|
| |
46,037
|
| |
6.2%
|
| |
2024
|
| | Vehicles | | | An enterprise in China mainly engaged in the sales of commercial vehicles | |
|
5
|
| |
Supplier A
|
| |
42,120
|
| |
5.6%
|
| |
2019
|
| | Vehicles | | | A state-owned enterprise in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
| | | |
Total
|
| |
258,230
|
| |
34.5%
|
| | | | | | | | | |
| | |||||||||||||||||||
|
Customer/ Supplier |
| |
Period
|
| |
Revenue
amount |
| |
Percentage
of total revenue |
| |
Nature of
revenue |
| |
Purchase
amount |
| |
Percentage
of total purchase |
| |
Nature of
purchase |
| ||||||||||||
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | |
(RMB in
thousands) |
| | | | | | | | | | ||||||
|
Supplier D
|
| |
2022
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | — | | | | | | — | | | |
N/A
|
|
| |
2023
|
| | | | 5,660 | | | | | | 1.4% | | | |
Operational and
technical support services |
| | | | 14,433 | | | | | | 2.8% | | | |
Vehicles
|
| ||
| |
2024
|
| | | | 531 | | | | | | 0.1% | | | |
Robobus
|
| | | | 4,210 | | | | | | 1.1% | | | |
Vehicles
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | — | | | | | | — | | | | | | | | | 10,847 | | | | | | 1.5% | | | |
Vehicles
|
| ||
|
Customer/ Supplier |
| |
Period
|
| |
Revenue
amount |
| |
Percentage
of total revenue |
| |
Nature of
revenue |
| |
Purchase
amount |
| |
Percentage
of total purchase |
| |
Nature of
purchase |
| ||||||||||||
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | |
(RMB in
thousands) |
| | | | | | | | | | ||||||
|
Supplier C
|
| |
2022
|
| | | | 2,000 | | | | | | 0.4% | | | |
Robobus
|
| | | | 19,228 | | | | | | 3.0% | | | |
Sensor suites parts
|
|
| |
2023
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | 46,148 | | | | | | 8.9% | | | |
Sensor suites parts
|
| ||
| |
2024
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | 20,718 | | | | | | 3.1% | | | |
Sensor suites parts
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | — | | | | | | — | | | | | | | | | 5,690 | | | | | | 0.8% | | | |
Sensor suites parts
|
| ||
|
Guangzhou
Yuji Technology Co., Ltd. (廣州 禹跡科技有限 公司) |
| |
2022
|
| | | | 603 | | | | | | 0.1% | | | |
Operational and
technical support services |
| | | | 30,274 | | | | | | 4.8% | | | |
Data collection, labeling and compliance services
|
|
| |
2023
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | 111,532 | | | | | | 21.4% | | | |
Data collection, labeling and compliance services
|
| ||
| |
2024
|
| | | | 528 | | | | | | 0.1% | | | |
Operational and
technical support services |
| | | | 90,055 | | | | | | 13.6% | | | |
Data collection, labeling and compliance services
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | — | | | | | | — | | | | | | | | | 32,379 | | | | | | 4.3% | | | |
Data collection, labeling and compliance services
|
| ||
| Yutong Group(1)(2) | | |
2022
|
| | | | 44,530 | | | | | | 8.4% | | | |
Robobus;
Operational and technical support services |
| | | | 168,862 | | | | | | 26.8% | | | |
Vehicles
|
|
| | | |
2023
|
| | | | 29,098 | | | | | | 7.2% | | | |
Robobus;
Operational and technical support services |
| | | | 18,377 | | | | | | 3.5% | | | |
Vehicles
|
|
| | | |
2024
|
| | | | 13,816 | | | | | | 3.8% | | | |
Operational and
technical support services |
| | | | 71,042 | | | | | | 10.7% | | | |
Vehicles
|
|
| | | |
Six months ended
June 30, 2025 |
| | | | 2,200 | | | | | | 1.1% | | | |
Sales of other L4
vehicles and related services |
| | | | 13,366 | | | | | | 1.8% | | | |
Vehicles
|
|
|
Awarding Year
|
| |
Award/Recognition
|
| |
Issuing
Authority/Organization |
|
|
2025
|
| | First Place Challenge Winner, Dubai World Congress for Self-Driving Transport | | | Dubai Roads and Transport Authority | |
|
2025
|
| | 2025 Fortune Future 50 List (Worldwide) | | | Fortune | |
|
2025
|
| | Fortune Change the World | | | Fortune | |
|
2025
|
| | Fortune Tech 50 (China) | | | Fortune | |
|
2025
|
| |
Hurun China 500 Most Valuable Companies
|
| | Hurun Report | |
|
2025
|
| | Top 50 Hurun China Artificial Intelligence Enterprises | | | Hurun Report | |
|
2024
|
| | 2024 Fortune Future 50 List (Worldwide) | | | Fortune | |
|
2024
|
| | Asia New Economy Pioneers Award | | | Caixin Global | |
|
2024
|
| | Most Admired Companies in China | | | Fortune China | |
|
2024
|
| | Top 50 Most Innovative Companies | | | Forbes China | |
|
2024
|
| | 2024 China Globalization Future Stars−Automotive and Automotive Technology List | | | Fortune | |
|
2024
|
| | China’s Top 50 Artificial Intelligence Technology Companies | | | Forbes | |
|
2024
|
| | Go-International Series Selection Top 30 in China | | | Forbes | |
|
2024
|
| | Hurun Global Unicorn Index 2024 | | | Hurun Report | |
|
2023
|
| | Most Influential IoT Innovation List | | | Fortune | |
|
2023
|
| | 2023 Change the World List | | | Fortune | |
|
2023
|
| | 2023 China’s Best Design List | | | Fortune | |
|
2023
|
| | 2023 Chinese Overseas Mainstays to Watch | | | Fortune China | |
|
2022
|
| | China’s Most Socially Impactful Startups | | | Fortune China | |
|
Core R&D Team Member
|
| |
Profile
|
|
| Dr. Tony Xu Han | | | As our founder, chairman of our Board, executive Director and CEO, Dr. Han has shaped our business strategies and significantly contributed to our core technologies. | |
| | | |
Dr. Han had contributed significantly to our Company in the following areas:
|
|
| | | |
•
Unwavering commitment to L4 technology development. Since our inception, Dr. Han has consistently prioritized L4 technology as our strategic focus. Despite facing challenges such as differing views on the future of autonomous driving and some competitors downgrading their focus on L4, we have shown unwavering strategic commitment by continuously increasing our R&D investments in L4 technology. Under Dr. Han’s leadership, we are now the only autonomous driving company globally offering L4 autonomous driving solutions that cater to diverse urban lifestyle and travel needs.
|
|
| | | |
•
Proactive business planning and pioneering multiple vehicle products. Dr. Han prioritizes urban scenarios with significant market potential and diverse applications. He spearheaded our R&D team, driving innovation in product development from the ground up to meet market demands in transportation, freight, and sanitation. This strategic focus has led to the successful launch of multiple pioneering L4 products.
|
|
| | | |
•
Focus on product deployment and commercialization. Under Dr. Han’s leadership, we have achieved significant commercialization milestones. Notably, we launched China’s first robotaxi service in 2019 and introduced the UAE’s first robotaxi service in 2021, establishing the largest publicly operated fleet in the Middle East. Dr. Han has also been instrumental in advancing our ADAS. In 2022, we demonstrated our adaptability by collaborating with Bosch to advance ADAS, successfully implementing a mass production plan within just 18 months. These accomplishments underscore our strategic initiatives to lead in autonomous technology and expand commercial activities globally. Dr. Han’s vision has positioned us as the only pure-play company offering a comprehensive range of smart mobility solutions across L4, L3, and L2, tailored for urban and highway environments.
|
|
| | | |
•
Fostering strong partners and investors across value chain. Dr. Han led our partnerships with key ecosystem participants to accelerate the commercialization of our technology. We have forged strong alliances with world-class vehicle manufacturers, Tier 1 suppliers, logistics and urban service providers and others.
|
|
|
Core R&D Team Member
|
| |
Profile
|
|
| | | |
•
Establishment of the blueprint for the WeRide One platform. Dr. Han guided us in developing our WeRide One, our universal technology platform. By adopting our WeRide One, our technology stack and operations capabilities cut across all application scenarios, with the utmost effectiveness and efficiency.
|
|
| | | |
•
Solid intellectual property protection. Under Dr. Han’s leadership, we have built a strong patent portfolio to protect our proprietary technologies, covering all critical aspects of autonomous driving. See “—Our Technology” and “—Intellectual Property.”
|
|
| | | | Dr. Han has over 20 years of experience in electrical and computing engineering and autonomous driving. Prior to founding our Company, Dr. Han worked as an associate professor of the Electrical & Computer Engineering Department at the University of Missouri from 2007 to 2017, and was granted tenure in 2013. In his academic career, he specialized in computer vision and machine learning. He worked as the chief scientist of the autonomous driving unit at Baidu Inc. (Nasdaq: BIDU and HKEX: 9888) from 2014 to 2017. Dr. Han received his bachelor’s degree in communication engineering from Beijing Jiaotong University in 1998, master’s degree in electrical engineering from the University of Rhode Island in 2002, and Ph.D. in electrical and computer engineering from the University of Illinois Urbana-Champaign in 2008. See “Directors and Senior Management—Board of Directors—Executive Directors.” | |
| Dr. Yan Li | | | As our co-founder, executive Director, and CTO, Dr. Yan Li plays a pivotal role in shaping our technological innovation. | |
| | | | Dr. Li had contributed significantly to our Company in the following areas: | |
| | | |
•
Hybrid architect and technology infrastructure. Under Dr. Li’s leadership, our end-to-end AI technologies have showcased capabilities that set them apart from those of our competitors. Dr. Li led our R&D team in developing a foundational model for L4 technology that combines safety, reliability, and versatility. This model effectively integrates the reasoning capabilities of multimodal large models with the decision-making advantages of end-to-end models, creating an AI-driven autonomous driving solution that minimizes information loss and simulates human-like driving behavior. Dr. Li spearheaded the development of an in-house vehicle management system for real-time scheduling and visualization, creating a standardized deployment framework that meets global standards in technology specifications, operational norms, and data processing. This framework has enabled successful large-scale operations in various international markets, overcoming challenges such as extreme temperatures and regulatory changes, exemplified by the rapid deployment of vehicles in Abu Dhabi within a relatively short time of arrival. In terms of L2 technology, Dr. Li successfully led the team to develop and mass-produce comprehensive solutions for urban navigation on autopilot, or NOA, highway NOA, and parking functionalities within 18 months, while also advancing visual-based technologies to strengthen end-to-end applications, culminating in the successful deployment of the latest generation of end-to-end solutions without maps.
|
|
| | | |
•
Rollout of our products and solutions. Dr. Li led the development of all vehicle types, namely, robotaxi, robobus, robovan, and robosweeper. Dr. Li also led the development of ADAS from the ground up and advanced our collaboration with Bosch. Remarkably, he completed the mass production plan in just 18 months, leading us to become the only entity to achieve
|
|
|
Core R&D Team Member
|
| |
Profile
|
|
| | | |
full-stack commercialization of L2-L4 autonomous driving technology. Additionally, Dr. Li led us in optimizing hardware solutions, significantly reducing costs for autonomous vehicles and facilitating product commercialization. Under his leadership, we have iterated through five generations of hardware configurations since our inception, significantly lowering production expenses. For our robobus, Dr. Li expanded partnerships with OEM suppliers, to collaborate on vehicle model selection, hardware design, and mass production delivery. This not only reduced the production costs and prices of our robobuses but also enriched our robobus product line, providing a comprehensive range of options for clients with varying budgets.
|
|
| | | | Dr. Li has over 20 years of experience in computer science, deep learning, and autonomous driving. Prior to co-founding our Company, Dr. Li served as the director of Engineering of UCAR Technology Inc. from 2015 to 2017, leading the autonomous driving department and connected vehicle data platform. From 2012 to 2015, he worked as a senior engineer at Facebook, Inc. (currently known as Meta Platforms, Inc.), where he was responsible for developing machine learning algorithms for user growth and ads. From 1999 to 2002 and 2009 to 2012, Dr. Li worked as an applied researcher at Microsoft Corporation. Dr. Li received his bachelor’s degree in computer science from Tsinghua University (清華大學) in 1997, master’s degree in computer science from Tsinghua University in 1999 and Ph.D. in electrical and computer engineering from Carnegie Mellon University in the United States in 2009. See “Directors and Senior Management—Board of Directors—Executive Directors.” | |
| Dr. Hua Zhong | | | As our senior vice president, Dr. Zhong has been a key contributor to our technological advancements since our inception. Dr. Zhong has over 20 years of experience in computer science and autonomous driving, with a focus on computer vision and machine learning. Before joining us, Dr. Zhong was a principal engineer at Ucar Inc. Prior to that, he worked at Google as well as Siemens. Dr. Zhong previously worked at Microsoft Research Asia, where he was mainly responsible for computer vision and machine learning research and development. Dr. Zhong received his bachelor’s degree in computer science from Tsinghua University (清華大學) in 2000, and Ph.D. in computer science from Carnegie Mellon University in the United States in 2008. See “Directors and Senior Management—Senior Management.” | |
| Dr. Qingxiong Yang | | | As our vice president, Dr. Yang is at the forefront of our R&D efforts. Dr. Yang has over 20 years of experience in electrical and computer engineering and autonomous driving. Prior to joining our Group, our Company, Dr. Yang served as the chief executive officer of MoonX.AI from 2018 to 2021. Prior to that, Dr. Yang worked as senior director of autonomous driving at DiDi from 2016 to 2017. Dr. Yang was an assistant professor at the Department of Computer Science of the City University of Hong Kong from 2011 to 2016, where his research focused on computer vision and graphics. Dr. Yang received his bachelor’s degree in electrical engineering and information science from the University of Science and Technology of China in 2004, and Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign in the United States in 2010. See “Directors and Senior Management—Senior Management.” | |
|
Module
|
| |
Key Aspects
|
| |
Number of
Issued Patents(1) |
| |
Number of
Pending Patents(1) |
|
|
Localization and Imaging
|
| | Point clouds, antennas, yaw angle, etc. | | |
35
|
| |
42
|
|
|
Planning and Control
|
| | Trajectory prediction, lane decisions, path planning, speed planning, trajectory generation, vehicle control, etc. | | |
45
|
| |
41
|
|
|
Perception
|
| | Obstacles, traffic lights, lane line recognition, point cloud classification, semantic segmentation, model training, etc. | | |
93
|
| |
60
|
|
|
Hardware
|
| | Sensor suite, LiDAR, cameras, installation, calibration, cleaning, etc. | | |
211
|
| |
106
|
|
|
Product
|
| | Vehicle testing, remote assistance, network, etc. | | |
42
|
| |
44
|
|
|
Analysis
|
| |
System evaluation, behavior analysis, etc.
|
| |
14
|
| |
32
|
|
|
Data
|
| | Machine learning, cloud platforms, stream processing, data labeling, etc. | | |
104
|
| |
21
|
|
|
Infrastructure
|
| | Large-scale simulation, scenario construction, interface visualization, etc. | | |
50
|
| |
143
|
|
|
No.
|
| |
Patent Claim/
Core Technology |
| |
Patent (Status)
|
| |
Functions/
Application Scenario |
|
| 1. | | | A Method for Calculating Takeover Probability and Related Device | | | ZL2022103857622 (issued) | | | Providing a continuous, standardized safety metric used for assessing the safety of the autonomous driving, which can be utilized for both simulation result evaluation and safety monitoring of real vehicles | |
| 2. | | | Decentralized File Uploading Method and Device, Storage Medium, and Computer Apparatus | | | ZL2022116254163 (issued) | | | Providing an efficient, robust, distributed, and flexibly defined prioritized uploading method for efficiently collecting massive amounts of smart driving data | |
| 3. | | | Automatic Vehicle Offline Method, Device, Equipment, and Storage Medium | | | ZL2021110181200 (issued) | | | Mass production assistant for vehicle offline | |
| 4. | | | Remote Takeover Method, Device, Equipment, and Storage Medium for Autonomous Vehicles | | | ZL2019104110713 (issued) | | | Remote driving system | |
| 5. | | | Autonomous Driving Speed Planning Method and Related Equipment Relating to Drivers’ Blind Spots | | | ZL2021114790886 (issued) | | | Defensive driving strategy for blind spots | |
| 6. | | | Method, Device, Equipment, and Readable Storage Medium for Predicting Obstacle Avoidance Reversing Trajectory | | | ZL2021114937950 (issued) | | | Reversing trajectory prediction algorithm | |
| 7. | | | Vehicle Motion Planning Method, Device, Equipment, and Medium | | | ZL2021115842905 (issued) | | | Generating trajectories that are physically comfortable in the horizontal and vertical directions and that can be followed correctly by the vehicle | |
| 8. | | | Narrow Road Meeting Method, Device, Equipment, and Storage Medium | | | ZL202211194239 (issued) | | | Dealing with narrow road meeting scenarios for autonomous vehicles | |
| 9. | | | Method and Device for Locating Obstacles in Semantic Map, Computer Apparatus, and Storage Medium | | | US17412958 (issued) | | | Locating obstacles on a semantic map | |
| 10. | | | Point Cloud Map Construction Method and Device, Computer Apparatus, and Storage Medium | | | ZL2018116428972 (issued) | | | Map generating system | |
| 11. | | | Sensor-Based Pose Optimization Method, Device, Equipment, and Storage Medium | | | CN2021112700029 (issued) | | | Positioning of autonomous vehicles | |
| 12. | | | Initialization Positioning Method, Device, Vehicle, and Storage Medium | | | CN2021111663732 (issued) | | | Initialization of autonomous vehicles | |
|
No.
|
| |
Patent Claim/
Core Technology |
| |
Patent (Status)
|
| |
Functions/
Application Scenario |
|
|
13.
|
| | Point Cloud Annotation Method, Device, Computer Equipment, and Storage Medium | | | CN2018115016975 (issued) | | |
Point cloud annotation method
|
|
|
14.
|
| | Automatic Annotation Method, Device, Electronic Equipment, Medium, and Product for Time Sequence Data | | | CN2022101990056 (issued) | | | Automatic annotation | |
|
15.
|
| | Index-Based Data Retrieval Method, Device, Server, and Storage Medium | | | CN2020116451995 (issued) | | | Data retrieval | |
|
16.
|
| | Obstacle Recognition Method and Apparatus, Computer Device, and Storage Medium | | | US17601005 (issued) | | | lidetect | |
|
17.
|
| | Target Object Detection and Segmentation Method, Device, Equipment, and Storage Medium | | | CN2022105548322 (issued) | | | CamBEV | |
|
18.
|
| | Traffic Light Identification Method, Device, and Electronic Equipment | | | CN2022101618792 (issued) | | | Traffic light model-based decider | |
|
19.
|
| | Time Synchronization Method, Device, Terminal Equipment, and Storage Medium | | | ZL2019111100701 (issued) | | | Sensor calibration | |
|
20.
|
| | Remote Sensor Cleaning Method, System, and Storage Medium | | | ZL202111252051X (issued) | | | Sensor auto-cleaning | |
|
Standards, certifications
and requirements |
| |
Definition of the standards,
certifications and requirements |
| |
Our compliance with the standards,
certifications and requirements |
|
| ISO 9001:2015 | | | An internationally accepted standard for quality management systems published by the ISO, encompassing the formulation of quality policies, objectives and processes such as quality planning, quality control, quality assurance and quality improvement. | | | We are ISO 9001:2015 certified, with our certificate valid until June 22, 2025. We operate in accordance with the quality system requirements and are committed to continual improvement. | |
| ISO 26262:2018 | | | An international standard for the functional safety of road vehicles, focusing on electrical and electronic systems. It aims to enhance safety by addressing potential hazards from system malfunctions. The standard uses the Automotive Safety Integrity Level (ASIL) for risk classification, divided into four levels: A, B, C and D, with ASIL D representing the highest level of stringency. | | | We obtained ISO 26262:2018 (ASIL-D) certification for our functional safety development process, with our certificate valid until April 28, 2028. | |
| ISO 21434:2021 | | | An international standard specifying engineering requirements for cybersecurity risk management regarding concept, product development, production, operation, maintenance and decommissioning of electrical and electronic systems in road vehicles, including their components and interfaces. | | | We are ISO 21434:2021 certified, with our certificate valid until April 1, 2026. We operate in accordance with the system requirements and strive for further enhancement. | |
| ISO 27001:2022 | | | An internationally accepted standard providing guidance for establishing, implementing, maintaining and continually improving an information security management. | | | We are ISO 27001:2022 certified, with our certificate valid until December 17, 2027. We operate in accordance with the system requirements and strive for further enhancement. | |
|
Standards, certifications
and requirements |
| |
Definition of the standards,
certifications and requirements |
| |
Our compliance with the standards,
certifications and requirements |
|
| ASPICE | | | Automotive software process improvement and capability determination, an industry-standard guideline for evaluating software development processes. | | | Certain of our R&D project achieved Level 2 in an ASPICE assessment. | |
| ISO 14001:2015 | | | An internationally recognized standard for environmental management systems (EMS). It provides a framework for organizations to design and implement an EMS, encompassing various aspects, from resource usage and waste management to monitoring environmental performance and involving stakeholders in environmental commitments. | | | We are ISO 14001:2015 certified, with our certificate valid until June 22, 2025. We operate in accordance with the system requirements and strive for further enhancement. | |
|
No.
|
| |
License name
(License No.) |
| |
Vehicle type
|
| |
Nature of the
license |
| |
Scope/
requirement |
| |
Grant date
|
| |
Licensee
name |
| |
Expiry
date |
| |
Jurisdiction
|
|
| 1 | | |
M1 (Vehicle No.: RD3228G)
|
| | Robobus | | | The first-level public road testing of autonomous vehicles | | | A closed-circuit test covers multiple dimensions, including basic autonomous driving functions, dynamic and static obstacle recognition and avoidance, and overall vehicle safety performance | | |
December 06, 2023
|
| |
WeRide (Singapore) Pte. Ltd.
|
| | / | | | Singapore | |
| 2 | | |
T1 (ID No: WR01)
|
| | Robobus | | | Prerequisite license for applying for the exemption for use on the public paths | | | T1 license focuses on public path testing, emphasizing technical reliability and precise response capabilities in complex environments. Test components include, among others, path keeping and turning, interaction with other path users | | |
October 24, 2023
|
| |
WeRide (Singapore) Pte. Ltd.
|
| | / | | | Singapore | |
| 3 | | | Minimal Viable License (RL2023002) | | | Robosweeper and other types of autonomous vehicles | | | National-level license to conduct testing for all types of autonomous vehicles in the UAE | | | Completion of public testing and operations on certain roads in the UAE over a period of time | | | August 1, 2023 | | | WeRide Middle East General Trading Ltd | | |
August 1, 2024(1)
|
| | the UAE | |
| 4 | | | Autonomous Vehicles Testing Program Test Vehicle Permits | | | Robotaxi | | | A test for autonomous vehicles on public roads under controlled conditions | | | Test vehicles are required to have safety features such as mechanisms for engaging/disengaging autonomous mode, certain data capture capability and meet the applicable federal motor vehicle safety standards | | | May 21, 2024 | | | Weride Corp. | | | June 30, 2026 | | | U.S. | |
|
No.
|
| |
Region
|
| |
Vehicle
Type |
| |
Licensee name
|
| |
Notice (No.)
|
| |
Scope of Permit
|
| |
Grant Date
|
| |
Validity
Period |
|
| 1 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0062) | | | Road testing, demonstration application, commercial pilot | | |
2024.10.28
|
| |
2024.10.28-2026.04.27
|
|
| 2 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0009) | | | Commercial operation(1) | | |
2025.02.21
|
| |
2025.02.21- 2026.06.22
|
|
| 3 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0026) | | | Commercial pilot | | |
2025.03.28
|
| |
2025.03.28-2026.09.27
|
|
| 4 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0031) | | | Commercial pilot | | |
2025.03.28
|
| |
2025.03.28- 2026.04.27
|
|
|
No.
|
| |
Region
|
| |
Vehicle
Type |
| | Licensee name | | |
Notice (No.)
|
| |
Scope of Permit
|
| |
Grant Date
|
| |
Validity
Period |
|
| 5 | | |
Beijing
|
| | Robobus | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0032) | | | Commercial pilot | | |
2025.03.28
|
| |
2025.03.28- 2026.04.10
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing
Notice/ Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 1 | | | Guangzhou | | | Wenyuan Guangzhou | | | Guangzhou Intelligent Connected Vehicle Road Testing Notice (廣州市智能網聯汽車道路測試通知書) (2024 No. 109) | | | Road testing(1), passenger carrying testing, remote testing | | |
2024.12.13
|
| |
2024.12.13-2025.12.12
|
|
| 2 | | | Guangzhou | | | Wenyuan Guangzhou | | | Guangzhou Intelligent Connected Vehicle Road Testing Notice (2024 No. 107) | | | Road testing | | |
2024.10.28
|
| |
2024.10.28-2025.10.27
|
|
| 3 | | | Guangzhou | | | Wenyuan Guangzhou, Wenyuan Yuexing, Guangzhou Jingqi, and Baiyun Taxi | | | Guangzhou Huangpu Intelligent Connected Vehicle Application Demonstration Operation Qualification Notice (廣州市黃埔區智能網聯汽車應用示範運營資格通知書) (2025 No. 1) | | | Demonstration operation(2) | | |
2025.04.18
|
| |
2025.04-
2028.04 |
|
| 4 | | | Nanjing | | |
Wenyuan Suxing
|
| | Intelligent Connected Vehicle Road Testing Notice (2024 No. 5) | | | Road testing | | |
2024.11.12
|
| |
2024.11.12- 2026.05.01
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 1 | | | Guangzhou | | | Wenyuan Guangzhou, Guangzhou Bus Group Co., Ltd. (廣州巴士集團有限公司), Guangzhou Nansha Bus Co., Ltd. (廣州巴士集團南沙巴士有限公司) | | | Guangzhou Intelligent Connected Vehicle Road Testing Notice (2024 No. 110) | | | Road testing, passenger carrying testing | | |
2024.12.13
|
| |
2024.12.13-2025.12.12
|
|
| 2 | | | Guangzhou | | | Wenyuan Guangzhou, Guangzhou Bus Group Co., Ltd., Guangzhou Bus Group Nansha Bus Co., Ltd., Guangzhou Jingqi | | | Notice of Qualification for Intelligent Connected Vehicle Demonstration Application in Nansha District (南沙區智能網聯汽車示範應用資格通知書) | | | Demonstration Application | | |
2025.01.27
|
| |
2025.01.27-2026.10.01
|
|
| 3 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (智能網聯汽車道路測試通知書) (2024 No. 0053) | | | Demonstration application | | |
2024.08.21
|
| |
2024.08.21-2026.02.20
|
|
| 4 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0060) | | | Demonstration application | | |
2024.10.11
|
| |
2024.10.11-2026.04.10
|
|
| 5 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0063) | | | Road testing, demonstration application | | |
2024.10.28
|
| |
2024.10.28-2026.04.27
|
|
| 6 | | | Dalian | | | Wenyuan Guangzhou, Dalian HaiChuang Asset Operation Management Co., Ltd. (大連海創資產運營管理有限公司) | | | Intelligent Connected Vehicle Demonstration Application Safety Self-Declaration (智能網聯汽車示範應用安全性自我聲明) | | | Demonstration application | | |
2024.06.05
|
| |
2024.06.05-2025.12.25
|
|
| 7 | | |
Songyang,
Lishui |
| | Wenyuan Wuxi, Songyang County Urban and Rural Public Transport Passenger Transport Co., Ltd. (松陽縣城鄉公共交通客運有限公司) | | | 2024 Intelligent Connected Vehicle Demonstration Application Notice (2024智能網聯車輛示範應用通知書) | | | Demonstration application | | |
2024.12.23
|
| |
2024.12.23-2026.06.23
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 8 | | | Dongguan | | | Wenyuan Guangzhou | | | Intelligent Connected Vehicle Road Testing and Demonstration Application Safety Self-Declaration | | | Road testing | | |
2024.09.25
|
| |
2024.09.20-2025.10.31
|
|
| 9 | | | Nanjing | | |
Wenyuan Suxing
|
| | Intelligent Connected Vehicle Road Testing Notice (2024 No. 5) | | | Road testing | | |
2024.11.12
|
| |
2024.11.12- 2026.05.01
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 1 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0007) | | | Road testing | | |
2025.02.21
|
| |
2025.02.21-2026.08.20
|
|
| 2 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0068) | | | Road testing | | |
2024.12.11
|
| |
2024.12.11-2026.06.10
|
|
| 3 | | | Dalian | | | Wenyuan Guangzhou, Dalian HaiChuang Asset Operation Management Co., Ltd. | | | Intelligent Connected Vehicle Demonstration Application Safety Self-Declaration (智能網聯汽車示範應用安全性自我聲明) | | | Road testing | | |
2024.11.01
|
| |
2024.11.01-2026.04.30
|
|
| 4 | | | Dongguan | | | Dongguan Wenyuan Zhixing Intelligent Technology Co., Ltd. (東莞文遠知行智慧科技有限公司) | | | Intelligent Connected Vehicle Road Testing Safety Self-Declaration | | | Road testing | | |
2024.05.09
|
| |
2024.06.01- 2025.11.30
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 1 | | | Guangzhou | | | Guangzhou Wenyuan, Guangzhou Wenyuan Zhixing Intelligent Technology Co., Ltd. (廣州文遠知行智慧科技有限公司) | | | Nansha Unmanned Driving Equipment Road Test Access Qualification Notice (南沙區無人駕駛裝備道路測試准入資格通知書) | | | Road testing | | |
2025.06.09
|
| |
2025.06.03-
2026.12.02 |
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 2 | | | Changsha | | | Wenyuan Guangzhou | | |
Functional Autonomous
Vehicle Pilot Program Safety Self-Declaration (功能型無人車試點安全性自我聲明) |
| |
Road testing,
demonstration application |
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2025.04.17
|
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2025.04.17-
2026.04.17 |
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|
Function
|
| |
Number of Employees
|
| |
% of Total
|
| ||||||
|
Research and development engineers
|
| | | | 797 | | | | | | 22.2% | | |
|
R&D data processing staff
|
| | | | 2,564 | | | | | | 71.5% | | |
|
Sales and marketing
|
| | | | 72 | | | | | | 2.0% | | |
|
Operations
|
| | | | 64 | | | | | | 1.8% | | |
|
General management and administration
|
| | | | 90 | | | | | | 2.5% | | |
| Total | | | | | 3,588 | | | | | | 100.0% | | |
| | | |
As of December 31,
|
| |
As of
June 30, |
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| | | |
2022
|
| |
2023
|
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2024
|
| |
2025
|
| ||||||||||||
|
Female Employee Percentage
|
| | | | 15.6% | | | | | | 16.3% | | | | | | 39.8% | | | | | | 42.7% | | |
|
Number of Employee Nationalities
|
| | | | 2 | | | | | | 6 | | | | | | 9 | | | | | | 9 | | |
| | | |
Female
|
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Male
|
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Non-Binary
|
| |
Did Not Disclose
Gender |
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| Gender Identity | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Directors
|
| | | | 1 | | | | | | 5 | | | | | | 0 | | | | | | 0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six
Months Ended June 30, |
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| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Electricity consumption (kWh)
|
| | | | 439,478 | | | | | | 608,548 | | | | | | 609,074 | | | | | | 273,174 | | |
|
Electricity consumption per unit area (kWh/m2)
|
| | | | 121.85 | | | | | | 133.58 | | | | | | 133.69 | | | | | | 59.96 | | |
|
Water consumption (m3)
|
| | | | 74 | | | | | | 175 | | | | | | 190 | | | | | | 133 | | |
|
Water consumption per unit area (m3/m2)
|
| | | | 0.02 | | | | | | 0.04 | | | | | | 0.04 | | | | | | 0.03 | | |
|
Waste discharge (m3)
|
| | | | 74 | | | | | | 175 | | | | | | 190 | | | | | | 133 | | |
|
Waste discharge per unit area (m3/m2)
|
| | | | 0.02 | | | | | | 0.04 | | | | | | 0.04 | | | | | | 0.03 | | |
|
Date of Valuation
|
| |
Fair Value
Per Share |
| |
Discount
Rate |
| |
DLOM
|
| |
Exercise Price
of Share Options Per Share |
| ||||||||||||
| | | | | | | | | | | | | | | | | | | | | |
(US$)
|
| |||
|
June 30, 2022
|
| | | | 2.88 | | | | | | 20% | | | | | | 15% | | | | | | 0.55–1.24 | | |
|
December 31, 2022
|
| | | | 3.42 | | | | | | 20% | | | | | | 13% | | | | | | 0.46–1.24 | | |
|
June 30, 2023
|
| | | | 3.44 | | | | | | 20% | | | | | | 11% | | | | | | N/A | | |
|
December 31, 2023
|
| | | | 3.46 | | | | | | 20% | | | | | | 7% | | | | | | 0.55–1.24 | | |
|
June 30, 2024
|
| | | | 3.47 | | | | | | 20% | | | | | | 4% | | | | | | 1.22 | | |
|
July 26, 2024
|
| | | | 4.82 | | | | | | 20% | | | | | | 4% | | | | | | 0.00–1.22 | | |
|
August 1, 2024
|
| | | | 4.82 | | | | | | 20% | | | | | | 4% | | | | | | 1.22–1.24 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
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2024
|
| |
2024
|
| |
2025
|
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| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||
| Revenue | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Product revenue
|
| | | | 337,717 | | | | | | 64.0 | | | | | | 54,190 | | | | | | 13.5 | | | | | | 87,710 | | | | | | 12,244 | | | | | | 24.3 | | | | | | 21,045 | | | | | | 14.0 | | | | | | 69,281 | | | | | | 9,671 | | | | | | 34.7 | | |
|
Service revenue
|
| | | | 189,826 | | | | | | 36.0 | | | | | | 347,654 | | | | | | 86.5 | | | | | | 273,424 | | | | | | 38,168 | | | | | | 75.7 | | | | | | 129,253 | | | | | | 86.0 | | | | | | 130,334 | | | | | | 18,194 | | | | | | 65.3 | | |
|
Total revenue
|
| | | | 527,543 | | | | | | 100.0 | | | | | | 401,844 | | | | | | 100.0 | | | | | | 361,134 | | | | | | 50,412 | | | | | | 100.0 | | | | | | 150,298 | | | | | | 100.0 | | | | | | 199,615 | | | | | | 27,865 | | | | | | 100.0 | | |
| Cost of revenue(1) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Cost of goods sold
|
| | | | (192,523) | | | | | | (36.5) | | | | | | (34,138) | | | | | | (8.5) | | | | | | (71,716) | | | | | | (10,011) | | | | | | (19.9) | | | | | | (17,157) | | | | | | (11.4) | | | | | | (35,461) | | | | | | (4,950) | | | | | | (17.8) | | |
|
Cost of services
|
| | | | (102,475) | | | | | | (19.4) | | | | | | (184,230) | | | | | | (45.8) | | | | | | (178,703) | | | | | | (24,946) | | | | | | (49.5) | | | | | | (78,352) | | | | | | (52.1) | | | | | | (103,095) | | | | | | (14,392) | | | | | | (51.6) | | |
|
Total cost of revenue
|
| | | | (294,998) | | | | | | (55.9) | | | | | | (218,368) | | | | | | (54.3) | | | | | | (250,419) | | | | | | (34,957) | | | | | | (69.3) | | | | | | (95,509) | | | | | | (63.5) | | | | | | (138,556) | | | | | | (19,342) | | | | | | (69.4) | | |
|
Gross profit
|
| | | | 232,545 | | | | | | 44.1 | | | | | | 183,476 | | | | | | 45.7 | | | | | | 110,715 | | | | | | 15,455 | | | | | | 30.7 | | | | | | 54,789 | | | | | | 36.5 | | | | | | 61,059 | | | | | | 8,523 | | | | | | 30.6 | | |
|
Other net income
|
| | | | 19,296 | | | | | | 3.7 | | | | | | 15,750 | | | | | | 3.9 | | | | | | 16,491 | | | | | | 2,302 | | | | | | 4.6 | | | | | | 7,939 | | | | | | 5.3 | | | | | | 3,021 | | | | | | 422 | | | | | | 1.5 | | |
|
Research and development expenses(1)
|
| | | | (758,565) | | | | | | (143.8) | | | | | | (1,058,395) | | | | | | (263.4) | | | | | | (1,091,357) | | | | | | (152,348) | | | | | | (302.2) | | | | | | (517,210) | | | | | | (344.2) | | | | | | (644,635) | | | | | | (89,988) | | | | | | (322.9) | | |
|
Administrative expenses(1)
|
| | | | (237,236) | | | | | | (45.0) | | | | | | (625,369) | | | | | | (155.6) | | | | | | (1,138,802) | | | | | | (158,970) | | | | | | (315.3) | | | | | | (208,293) | | | | | | (138.6) | | | | | | (278,942) | | | | | | (38,939) | | | | | | (139.8) | | |
|
Selling expenses(1)
|
| | | | (23,574) | | | | | | (4.5) | | | | | | (41,447) | | | | | | (10.3) | | | | | | (53,566) | | | | | | (7,478) | | | | | | (14.8) | | | | | | (22,784) | | | | | | (15.2) | | | | | | (27,780) | | | | | | (3,878) | | | | | | (13.9) | | |
|
Impairment loss on receivables
and contract assets |
| | | | (11,696) | | | | | | (2.2) | | | | | | (40,217) | | | | | | (10.0) | | | | | | (28,664) | | | | | | (4,001) | | | | | | (7.9) | | | | | | (13,424) | | | | | | (8.9) | | | | | | (2,800) | | | | | | (391) | | | | | | (1.4) | | |
|
Operating loss
|
| | | | (779,230) | | | | | | (147.7) | | | | | | (1,566,202) | | | | | | (389.7) | | | | | | (2,185,183) | | | | | | (305,040) | | | | | | (605.1) | | | | | | (698,983) | | | | | | (465.1) | | | | | | (890,077) | | | | | | (124,251) | | | | | | (445.9) | | |
|
Net foreign exchange gain
|
| | | | 20,209 | | | | | | 3.8 | | | | | | 7,052 | | | | | | 1.8 | | | | | | 27,880 | | | | | | 3,892 | | | | | | 7.7 | | | | | | 4,659 | | | | | | 3.1 | | | | | | 5,629 | | | | | | 786 | | | | | | 2.8 | | |
|
Interest income
|
| | | | 36,111 | | | | | | 6.8 | | | | | | 132,042 | | | | | | 32.9 | | | | | | 176,902 | | | | | | 24,695 | | | | | | 49.0 | | | | | | 89,294 | | | | | | 59.4 | | | | | | 74,946 | | | | | | 10,462 | | | | | | 37.5 | | |
|
Fair value changes of financial
assets at fair value through profit or loss (“FVTPL”) |
| | | | 7,731 | | | | | | 1.5 | | | | | | 42,960 | | | | | | 10.7 | | | | | | (61,834) | | | | | | (8,632) | | | | | | (17.1) | | | | | | 4,503 | | | | | | 3.0 | | | | | | 23,154 | | | | | | 3,232 | | | | | | 11.6 | | |
|
Other finance costs
|
| | | | (4,202) | | | | | | (0.8) | | | | | | (3,490) | | | | | | (0.9) | | | | | | (3,451) | | | | | | (482) | | | | | | (1.0) | | | | | | (1,356) | | | | | | (0.9) | | | | | | (3,292) | | | | | | (460) | | | | | | (1.6) | | |
|
Inducement charges of warrants
|
| | | | (125,213) | | | | | | (23.7) | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Fair value changes of financial
liabilities measured at FVTPL |
| | | | 25,308 | | | | | | 4.8 | | | | | | (4,549) | | | | | | (1.1) | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Changes in the carrying
amounts of preferred shares and other financial instruments subject to redemption and other preferential rights |
| | | | (479,210) | | | | | | (90.8) | | | | | | (554,048) | | | | | | (137.9) | | | | | | (465,254) | | | | | | (64,947) | | | | | | (128.8) | | | | | | (278,226) | | | | | | (185.1) | | | | | | — | | | | | | — | | | | | | — | | |
|
Loss before taxation
|
| | | | (1,298,496) | | | | | | (246.1) | | | | | | (1,946,235) | | | | | | (484.2) | | | | | | (2,510,940) | | | | | | (350,514) | | | | | | (695.3) | | | | | | (880,109) | | | | | | (585.6) | | | | | | (789,640) | | | | | | (110,231) | | | | | | (395.6) | | |
|
Income tax
|
| | | | — | | | | | | — | | | | | | (2,866) | | | | | | (0.7) | | | | | | (5,868) | | | | | | (819) | | | | | | (1.6) | | | | | | (1,591) | | | | | | (1.0) | | | | | | (1,877) | | | | | | (262) | | | | | | (0.9) | | |
|
Loss for the year/period
|
| | | | (1,298,496) | | | | | | (246.1) | | | | | | (1,949,101) | | | | | | (484.9) | | | | | | (2,516,808) | | | | | | (351,333) | | | | | | (696.9) | | | | | | (881,700) | | | | | | (586.6) | | | | | | (791,517) | | | | | | (110,493) | | | | | | (396.5) | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended
June 30, |
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | |||||||||||||||||||||||||||
|
Cost of revenue
|
| | | | — | | | | | | (10,284) | | | | | | (7,161) | | | | | | (1,000) | | | | | | (3,021) | | | | | | — | | | | | | — | | |
|
Research and development expenses
|
| | | | (231,000) | | | | | | (440,138) | | | | | | (234,350) | | | | | | (32,714) | | | | | | (150,368) | | | | | | (86,386) | | | | | | (12,059) | | |
|
Administrative expenses
|
| | | | (89,978) | | | | | | (465,678) | | | | | | (937,660) | | | | | | (130,892) | | | | | | (133,328) | | | | | | (129,414) | | | | | | (18,065) | | |
|
Selling expenses
|
| | | | (4,451) | | | | | | (15,684) | | | | | | (8,696) | | | | | | (1,214) | | | | | | (5,183) | | | | | | (3,722) | | | | | | (520) | | |
| Total | | | | | (325,429) | | | | | | (931,784) | | | | | | (1,187,867) | | | | | | (165,820) | | | | | | (291,900) | | | | | | (219,522) | | | | | | (30,644) | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Revenue: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Product revenue(1)
|
| | | | 337,717 | | | | | | 64.0 | | | | | | 54,190 | | | | | | 13.5 | | | | | | 87,710 | | | | | | 12,244 | | | | | | 24.3 | | | | | | 21,045 | | | | | | 14.0 | | | | | | 69,281 | | | | | | 9,671 | | | | | | 34.7 | | |
|
Service revenue(2)
|
| | | | 189,826 | | | | | | 36.0 | | | | | | 347,654 | | | | | | 86.5 | | | | | | 273,424 | | | | | | 38,168 | | | | | | 75.7 | | | | | | 129,253 | | | | | | 86.0 | | | | | | 130,334 | | | | | | 18,194 | | | | | | 65.3 | | |
|
Total Revenue
|
| | | | 527,543 | | | | | | 100.0 | | | | | | 401,844 | | | | | | 100.0 | | | | | | 361,134 | | | | | | 50,412 | | | | | | 100.0 | | | | | | 150,298 | | | | | | 100.0 | | | | | | 199,615 | | | | | | 27,865 | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
|
Sales of robotaxis and related services(1)
|
| | | | 43,303 | | | | | | 8.2 | | | | | | 29,379 | | | | | | 7.3 | | | | | | 47,832 | | | | | | 6,677 | | | | | | 13.2 | | | | | | 13,357 | | | | | | 8.9 | | | | | | 62,030 | | | | | | 8,659 | | | | | | 31.1 | | |
|
Sales of other L4 vehicles and related services(2)
|
| | | | 327,041 | | | | | | 62.0 | | | | | | 110,096 | | | | | | 27.4 | | | | | | 148,401 | | | | | | 20,716 | | | | | | 41.1 | | | | | | 57,825 | | | | | | 38.5 | | | | | | 61,902 | | | | | | 8,641 | | | | | | 31.0 | | |
|
Robobus
|
| | | | 320,240 | | | | | | 60.7 | | | | | | 94,914 | | | | | | 23.6 | | | | | | 79,688 | | | | | | 11,124 | | | | | | 22.1 | | | | | | 43,026 | | | | | | 28.6 | | | | | | 25,152 | | | | | | 3,511 | | | | | | 12.6 | | |
|
Robosweeper
|
| | | | 6,801 | | | | | | 1.3 | | | | | | 7,642 | | | | | | 1.9 | | | | | | 55,320 | | | | | | 7,722 | | | | | | 15.3 | | | | | | 11,536 | | | | | | 7.7 | | | | | | 33,850 | | | | | | 4,725 | | | | | | 17.0 | | |
|
Robovan(3)
|
| | | | — | | | | | | — | | | | | | 7,540 | | | | | | 1.9 | | | | | | 13,393 | | | | | | 1,870 | | | | | | 3.7 | | | | | | 3,263 | | | | | | 2.2 | | | | | | 2,900 | | | | | | 405 | | | | | | 1.4 | | |
|
Other technology
services(4) |
| | | | 157,199 | | | | | | 29.8 | | | | | | 262,369 | | | | | | 65.3 | | | | | | 164,901 | | | | | | 23,019 | | | | | | 45.7 | | | | | | 79,116 | | | | | | 52.6 | | | | | | 75,683 | | | | | | 10,565 | | | | | | 37.9 | | |
|
Total revenue
|
| | | | 527,543 | | | | | | 100.0 | | | | | | 401,844 | | | | | | 100.0 | | | | | | 361,134 | | | | | | 50,412 | | | | | | 100.0 | | | | | | 150,298 | | | | | | 100.0 | | | | | | 199,615 | | | | | | 27,865 | | | | | | 100.0 | | |
| | | |
For the Year Ended
December 31, |
| |
For the
Six Months Ended June 30, |
| ||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
Sales of robotaxis
|
| | | | 11 | | | | | | 3 | | | | | | 18 | | | | | | — | | | | | | 46 | | |
|
Sales of robobuses
|
| | | | 90 | | | | | | 19 | | | | | | 14 | | | | | | 9 | | | | | | 2 | | |
|
Sales of robosweepers
|
| | | | 2 | | | | | | — | | | | | | 49 | | | | | | 4 | | | | | | 24 | | |
|
Sales of robovans
|
| | | | — | | | | | | — | | | | | | 10 | | | | | | — | | | | | | — | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||
| Cost of revenue: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Cost of goods
sold |
| | | | (192,523) | | | | | | 65.3 | | | | | | (34,138) | | | | | | 15.6 | | | | | | (71,716) | | | | | | (10,011) | | | | | | 28.6 | | | | | | (17,157) | | | | | | 18.0 | | | | | | (35,461) | | | | | | (4,950) | | | | | | 25.6 | | |
|
Cost of services
|
| | | | (102,475) | | | | | | 34.7 | | | | | | (184,230) | | | | | | 84.4 | | | | | | (178,703) | | | | | | (24,946) | | | | | | 71.4 | | | | | | (78,352) | | | | | | 82.0 | | | | | | (103,095) | | | | | | (14,392) | | | | | | 74.4 | | |
| Total | | | | | (294,998) | | | | | | 100.0 | | | | | | (218,368) | | | | | | 100.0 | | | | | | (250,419) | | | | | | (34,957) | | | | | | 100.0 | | | | | | (95,509) | | | | | | 100.0 | | | | | | (138,556) | | | | | | (19,342) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||
| Cost of revenue: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Payroll and employee benefits
|
| | | | (68,529) | | | | | | 23.2 | | | | | | (80,687) | | | | | | 37.0 | | | | | | (86,923) | | | | | | (12,134) | | | | | | 34.7 | | | | | | (29,452) | | | | | | 30.8 | | | | | | (61,175) | | | | | | (8,540) | | | | | | 44.2 | | |
|
Share-based compensation
|
| | | | — | | | | | | — | | | | | | (10,284) | | | | | | 4.7 | | | | | | (7,161) | | | | | | (1,000) | | | | | | 2.9 | | | | | | (3,021) | | | | | | 3.2 | | | | | | — | | | | | | — | | | | | | 0.0 | | |
|
Cost of goods sold
|
| | | | (192,523) | | | | | | 65.3 | | | | | | (34,138) | | | | | | 15.6 | | | | | | (71,716) | | | | | | (10,011) | | | | | | 28.6 | | | | | | (17,157) | | | | | | 18.0 | | | | | | (35,461) | | | | | | (4,950) | | | | | | 25.6 | | |
|
Depreciation and amortization
|
| | | | (2,794) | | | | | | 0.9 | | | | | | (3,434) | | | | | | 1.6 | | | | | | (4,381) | | | | | | (612) | | | | | | 1.7 | | | | | | (2,158) | | | | | | 2.3 | | | | | | (3,976) | | | | | | (555) | | | | | | 2.9 | | |
|
Service fee from a related party
|
| | | | (13,175) | | | | | | 4.5 | | | | | | (50,743) | | | | | | 23.2 | | | | | | (21,133) | | | | | | (2,950) | | | | | | 8.4 | | | | | | (24,861) | | | | | | 26.0 | | | | | | (2,397) | | | | | | (335) | | | | | | 1.7 | | |
|
Outsourcing service fee
|
| | | | (6,912) | | | | | | 2.3 | | | | | | (10,596) | | | | | | 4.9 | | | | | | (25,899) | | | | | | (3,615) | | | | | | 10.3 | | | | | | (9,163) | | | | | | 9.6 | | | | | | (17,926) | | | | | | (2,502) | | | | | | 12.9 | | |
|
Utilities and property management fee
|
| | | | — | | | | | | — | | | | | | (54) | | | | | | 0.0 | | | | | | (3,254) | | | | | | (454) | | | | | | 1.3 | | | | | | (1,421) | | | | | | 1.5 | | | | | | (935) | | | | | | (131) | | | | | | 0.7 | | |
|
Vehicle related costs(1)
|
| | | | (4,767) | | | | | | 1.6 | | | | | | (11,991) | | | | | | 5.5 | | | | | | (9,411) | | | | | | (1,314) | | | | | | 3.8 | | | | | | (2,232) | | | | | | 2.3 | | | | | | (6,953) | | | | | | (971) | | | | | | 5.0 | | |
|
Platform service fees(2)
|
| | | | — | | | | | | — | | | | | | (6,550) | | | | | | 3.0 | | | | | | (14,444) | | | | | | (2,016) | | | | | | 5.8 | | | | | | (2,382) | | | | | | 2.5 | | | | | | (1,610) | | | | | | (225) | | | | | | 1.2 | | |
|
Travel expenses
|
| | | | (2,585) | | | | | | 0.9 | | | | | | (2,145) | | | | | | 1.0 | | | | | | (2,131) | | | | | | (297) | | | | | | 0.9 | | | | | | (664) | | | | | | 0.7 | | | | | | (2,067) | | | | | | (289) | | | | | | 1.5 | | |
|
Others
|
| | | | (3,713) | | | | | | 1.3 | | | | | | (7,746) | | | | | | 3.5 | | | | | | (3,966) | | | | | | (554) | | | | | | 1.6 | | | | | | (2,998) | | | | | | 3.1 | | | | | | (6,056) | | | | | | (844) | | | | | | 4.3 | | |
| Total | | | | | (294,998) | | | | | | 100.0 | | | | | | (218,368) | | | | | | 100.0 | | | | | | (250,419) | | | | | | (34,957) | | | | | | 100.0 | | | | | | (95,509) | | | | | | 100.0 | | | | | | (138,556) | | | | | | (19,342) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
Profit |
| |
Gross
margin |
| ||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
|
Products
|
| | | | 145,194 | | | | | | 43.0 | | | | | | 20,052 | | | | | | 37.0 | | | | | | 15,994 | | | | | | 2,233 | | | | | | 18.2 | | | | | | 3,888 | | | | | | 18.5 | | | | | | 33,820 | | | | | | 4,721 | | | | | | 48.8 | | |
|
Services
|
| | | | 87,351 | | | | | | 46.0 | | | | | | 163,424 | | | | | | 47.0 | | | | | | 94,721 | | | | | | 13,222 | | | | | | 34.6 | | | | | | 50,901 | | | | | | 39.4 | | | | | | 27,239 | | | | | | 3,802 | | | | | | 20.9 | | |
| Total | | | | | 232,545 | | | | | | 44.1 | | | | | | 183,476 | | | | | | 45.7 | | | | | | 110,715 | | | | | | 15,455 | | | | | | 30.7 | | | | | | 54,789 | | | | | | 36.5 | | | | | | 61,059 | | | | | | 8,523 | | | | | | 30.6 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
| Operating Expenses: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Research and development expenses
|
| | | | (758,565) | | | | | | 143.8 | | | | | | (1,058,395) | | | | | | 263.4 | | | | | | (1,091,357) | | | | | | (152,348) | | | | | | 302.2 | | | | | | (517,210) | | | | | | 344.2 | | | | | | (644,635) | | | | | | (89,988) | | | | | | 322.9 | | |
|
Administrative expenses
|
| | | | (237,236) | | | | | | 45.0 | | | | | | (625,369) | | | | | | 155.6 | | | | | | (1,138,802) | | | | | | (158,970) | | | | | | 315.3 | | | | | | (208,293) | | | | | | 138.6 | | | | | | (278,942) | | | | | | (38,939) | | | | | | 139.8 | | |
|
Selling expenses
|
| | | | (23,574) | | | | | | 4.5 | | | | | | (41,447) | | | | | | 10.3 | | | | | | (53,566) | | | | | | (7,478) | | | | | | 14.8 | | | | | | (22,784) | | | | | | 15.2 | | | | | | (27,780) | | | | | | (3,878) | | | | | | 13.9 | | |
| Total | | | | | (1,019,375) | | | | | | 193.3 | | | | | | (1,725,211) | | | | | | 429.3 | | | | | | (2,283,725) | | | | | | (318,796) | | | | | | 632.3 | | | | | | (748,287) | | | | | | 498.0 | | | | | | (951,357) | | | | | | (132,805) | | | | | | 476.6 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
|
Payroll and employee benefits
|
| | | | (335,939) | | | | | | 44.3 | | | | | | (390,471) | | | | | | 36.9 | | | | | | (551,581) | | | | | | (76,998) | | | | | | 50.5 | | | | | | (238,696) | | | | | | 46.2 | | | | | | (344,667) | | | | | | (48,114) | | | | | | 53.5 | | |
|
Share-based compensation
|
| | | | (231,000) | | | | | | 30.5 | | | | | | (440,138) | | | | | | 41.6 | | | | | | (234,350) | | | | | | (32,714) | | | | | | 21.5 | | | | | | (150,368) | | | | | | 29.1 | | | | | | (86,386) | | | | | | (12,059) | | | | | | 13.4 | | |
|
Depreciation and amortization
|
| | | | (66,025) | | | | | | 8.7 | | | | | | (67,839) | | | | | | 6.4 | | | | | | (76,709) | | | | | | (10,708) | | | | | | 7.0 | | | | | | (36,553) | | | | | | 7.1 | | | | | | (56,342) | | | | | | (7,865) | | | | | | 8.7 | | |
|
Professional services fee
|
| | | | (22,805) | | | | | | 3.0 | | | | | | (13,441) | | | | | | 1.3 | | | | | | (57,578) | | | | | | (8,038) | | | | | | 5.3 | | | | | | (5,791) | | | | | | 1.1 | | | | | | (35,227) | | | | | | (4,917) | | | | | | 5.5 | | |
|
Service fee from a related party
|
| | | | (20,756) | | | | | | 2.7 | | | | | | (60,789) | | | | | | 5.7 | | | | | | (68,922) | | | | | | (9,621) | | | | | | 6.3 | | | | | | (40,696) | | | | | | 7.9 | | | | | | (29,982) | | | | | | (4,185) | | | | | | 4.7 | | |
|
Outsourcing service fee
|
| | | | (19,109) | | | | | | 2.5 | | | | | | (29,415) | | | | | | 2.8 | | | | | | (36,929) | | | | | | (5,155) | | | | | | 3.4 | | | | | | (15,268) | | | | | | 3.0 | | | | | | (41,511) | | | | | | (5,795) | | | | | | 6.4 | | |
|
Utilities and property management
fee |
| | | | (15,023) | | | | | | 2.0 | | | | | | (16,127) | | | | | | 1.5 | | | | | | (17,431) | | | | | | (2,433) | | | | | | 1.6 | | | | | | (7,028) | | | | | | 1.4 | | | | | | (12,096) | | | | | | (1,689) | | | | | | 1.9 | | |
|
Others
|
| | | | (47,908) | | | | | | 6.3 | | | | | | (40,175) | | | | | | 3.8 | | | | | | (47,857) | | | | | | (6,681) | | | | | | 4.4 | | | | | | (22,810) | | | | | | 4.2 | | | | | | (38,424) | | | | | | (5,364) | | | | | | 5.9 | | |
| Total | | | | | (758,565) | | | | | | 100.0 | | | | | | (1,058,395) | | | | | | 100.0 | | | | | | (1,091,357) | | | | | | (152,348) | | | | | | 100.0 | | | | | | (517,210) | | | | | | 100.0 | | | | | | (644,635) | | | | | | (89,988) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
|
Payroll and employee
benefits |
| | | | (62,427) | | | | | | 26.3 | | | | | | (76,678) | | | | | | 12.3 | | | | | | (100,502) | | | | | | (14,030) | | | | | | 8.8 | | | | | | (42,050) | | | | | | 20.2 | | | | | | (54,213) | | | | | | (7,568) | | | | | | 19.4 | | |
|
Share-based compensation
|
| | | | (89,978) | | | | | | 37.9 | | | | | | (465,678) | | | | | | 74.5 | | | | | | (937,660) | | | | | | (130,892) | | | | | | 82.4 | | | | | | (133,328) | | | | | | 64.0 | | | | | | (129,414) | | | | | | (18,065) | | | | | | 46.4 | | |
|
Depreciation and amortization
|
| | | | (17,036) | | | | | | 7.2 | | | | | | (16,906) | | | | | | 2.7 | | | | | | (18,479) | | | | | | (2,580) | | | | | | 1.6 | | | | | | (9,606) | | | | | | 4.6 | | | | | | (11,634) | | | | | | (1,624) | | | | | | 4.2 | | |
|
Professional services fee
|
| | | | (33,647) | | | | | | 14.2 | | | | | | (32,989) | | | | | | 5.3 | | | | | | (49,013) | | | | | | (6,842) | | | | | | 4.3 | | | | | | (11,267) | | | | | | 5.4 | | | | | | (66,420) | | | | | | (9,272) | | | | | | 23.8 | | |
|
Outsourcing service fee
|
| | | | (1,813) | | | | | | 0.8 | | | | | | (2,413) | | | | | | 0.4 | | | | | | (1,527) | | | | | | (213) | | | | | | 0.1 | | | | | | (626) | | | | | | 0.3 | | | | | | (636) | | | | | | (89) | | | | | | 0.2 | | |
|
Utilities and property management fee
|
| | | | (22,739) | | | | | | 9.6 | | | | | | (14,605) | | | | | | 2.3 | | | | | | (13,740) | | | | | | (1,918) | | | | | | 1.2 | | | | | | (5,034) | | | | | | 2.4 | | | | | | (10,788) | | | | | | (1,506) | | | | | | 3.9 | | |
|
Others
|
| | | | (9,596) | | | | | | 4.0 | | | | | | (16,100) | | | | | | 2.5 | | | | | | (17,881) | | | | | | (2,495) | | | | | | 1.6 | | | | | | (6,382) | | | | | | 3.1 | | | | | | (5,837) | | | | | | (815) | | | | | | 2.1 | | |
| Total | | | | | (237,236) | | | | | | 100.0 | | | | | | (625,369) | | | | | | 100.0 | | | | | | (1,138,802) | | | | | | (158,970) | | | | | | 100.0 | | | | | | (208,293) | | | | | | 100.0 | | | | | | (278,942) | | | | | | (38,939) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | | | | | | | |||||||||||||||||||||||||||||||||||||||||||||||||||
|
Payroll and employee benefits
|
| | | | (10,032) | | | | | | 42.6 | | | | | | (17,839) | | | | | | 43.0 | | | | | | (26,850) | | | | | | (3,748) | | | | | | 50.1 | | | | | | (11,915) | | | | | | 52.3 | | | | | | (13,576) | | | | | | (1,895) | | | | | | 48.9 | | |
|
Share-based
compensation |
| | | | (4,451) | | | | | | 18.9 | | | | | | (15,684) | | | | | | 37.8 | | | | | | (8,696) | | | | | | (1,214) | | | | | | 16.2 | | | | | | (5,183) | | | | | | 22.7 | | | | | | (3,722) | | | | | | (520) | | | | | | 13.4 | | |
|
Depreciation and amortization
|
| | | | (697) | | | | | | 3.0 | | | | | | (1,431) | | | | | | 3.5 | | | | | | (1,562) | | | | | | (218) | | | | | | 2.9 | | | | | | (567) | | | | | | 2.5 | | | | | | (1,075) | | | | | | (150) | | | | | | 3.9 | | |
|
Professional services fee
|
| | | | (3,702) | | | | | | 15.7 | | | | | | (488) | | | | | | 1.2 | | | | | | (587) | | | | | | (82) | | | | | | 1.1 | | | | | | (139) | | | | | | 0.6 | | | | | | (1,077) | | | | | | (150) | | | | | | 3.9 | | |
|
Outsourcing service fee
|
| | | | — | | | | | | — | | | | | | (815) | | | | | | 2.0 | | | | | | (3,083) | | | | | | (430) | | | | | | 5.8 | | | | | | (1,132) | | | | | | 5.0 | | | | | | (1,661) | | | | | | (232) | | | | | | 6.0 | | |
|
Utilities and property management fee
|
| | | | (448) | | | | | | 1.9 | | | | | | (1,192) | | | | | | 2.9 | | | | | | (1,273) | | | | | | (178) | | | | | | 2.4 | | | | | | (559) | | | | | | 2.5 | | | | | | (1,004) | | | | | | (140) | | | | | | 3.6 | | |
|
Others
|
| | | | (4,244) | | | | | | 17.9 | | | | | | (3,998) | | | | | | 9.6 | | | | | | (11,515) | | | | | | (1,608) | | | | | | 21.5 | | | | | | (3,289) | | | | | | 14.4 | | | | | | (5,665) | | | | | | (791) | | | | | | 20.3 | | |
| Total | | | | | (23,574) | | | | | | 100.0 | | | | | | (41,447) | | | | | | 100.0 | | | | | | (53,566) | | | | | | (7,478) | | | | | | 100.0 | | | | | | (22,784) | | | | | | 100.0 | | | | | | (27,780) | | | | | | (3,878) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | |||||||||||||||||||||||||||
|
Government grants
|
| | | | 19,658 | | | | | | 14,399 | | | | | | 14,132 | | | | | | 1,973 | | | | | | 6,904 | | | | | | 450 | | | | | | 63 | | |
|
Net (loss)/gain on disposal of
non-current assets |
| | | | (950) | | | | | | (1,087) | | | | | | 1,013 | | | | | | 141 | | | | | | — | | | | | | (109) | | | | | | (15) | | |
| Others(1) | | | | | 588 | | | | | | 2,438 | | | | | | 1,346 | | | | | | 188 | | | | | | 1,035 | | | | | | 2,680 | | | | | | 374 | | |
| Total | | | | | 19,296 | | | | | | 15,750 | | | | | | 16,491 | | | | | | 2,302 | | | | | | 7,939 | | | | | | 3,021 | | | | | | 422 | | |
| | | |
For the Year Ended
December 31, |
| |
For the Six Months Ended
June 30, |
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | |||||||||||||||||||||||||||
|
Interest on lease liabilities
|
| | | | 3,574 | | | | | | 2,853 | | | | | | 2,276 | | | | | | 318 | | | | | | 1,034 | | | | | | 1,660 | | | | | | 233 | | |
|
Changes in the carrying amount of put option liabilities
|
| | | | 628 | | | | | | 637 | | | | | | 650 | | | | | | 91 | | | | | | 322 | | | | | | 325 | | | | | | 45 | | |
|
Interest on bank loans
|
| | | | — | | | | | | — | | | | | | 525 | | | | | | 73 | | | | | | — | | | | | | 1,307 | | | | | | 182 | | |
| Total | | | | | 4,202 | | | | | | 3,490 | | | | | | 3,451 | | | | | | 482 | | | | | | 1,356 | | | | | | 3,292 | | | | | | 460 | | |
| | | |
Six Months Ended
June 30, |
| |||||||||
| | | |
2024
|
| |
2025
|
| ||||||
|
Sales of robotaxis
|
| | | | — | | | | | | 46 | | |
|
Sales of robobuses
|
| | | | 9 | | | | | | 2 | | |
|
Sales of robosweepers
|
| | | | 4 | | | | | | 24 | | |
|
Sales of robovans
|
| | | | — | | | | | | — | | |
| | | |
Six Months Ended
June 30, |
| |||||||||
| | | |
2024
|
| |
2025
|
| ||||||
|
Sales of robotaxis
|
| | | | 79% | | | | | | 53% | | |
|
Sales of robobuses
|
| | | | 29% | | | | | | 27% | | |
|
Sales of robosweepers
|
| | | | — | | | | | | 47% | | |
|
Sales of robovans
|
| | | | — | | | | | | — | | |
|
Operational and technical support services
|
| | | | 43% | | | | | | 23% | | |
|
Other technology service
|
| | | | 37% | | | | | | 19% | | |
| | | |
For the Year Ended
December 31, |
| |||||||||
| | | |
2023
|
| |
2024
|
| ||||||
|
Sales of robotaxis
|
| | | | 3 | | | | | | 18 | | |
|
Sales of robobuses
|
| | | | 19 | | | | | | 14 | | |
|
Sales of robosweepers
|
| | | | — | | | | | | 49 | | |
|
Sales of robovans
|
| | | | — | | | | | | 10 | | |
| | | |
For the Year Ended
December 31, |
| |||||||||
| | | |
2023
|
| |
2024
|
| ||||||
|
Sales of robotaxis
|
| | | | 37% | | | | | | 53% | | |
|
Sales of robobuses
|
| | | | 48% | | | | | | 32% | | |
|
Sales of robosweepers
|
| | | | — | | | | | | (22)%(1) | | |
|
Sales of robovans
|
| | | | — | | | | | | 3% | | |
|
Operational and technical support services
|
| | | | 48% | | | | | | 42% | | |
|
Other technology service
|
| | | | 47% | | | | | | 30% | | |
| | | |
For the Year Ended
December 31, |
| |||||||||
| | | |
2022
|
| |
2023
|
| ||||||
|
Sales of robobuses
|
| | | | 90 | | | | | | 19 | | |
|
Sales of robotaxis
|
| | | | 11 | | | | | | 3 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
| Non-current assets | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Property and equipment
|
| | | | 113,878 | | | | | | 98,574 | | | | | | 178,179 | | | | | | 24,873 | | | | | | 281,968 | | | | | | 39,361 | | |
|
Right-of-use assets
|
| | | | 64,410 | | | | | | 51,658 | | | | | | 73,564 | | | | | | 10,269 | | | | | | 72,951 | | | | | | 10,184 | | |
|
Intangible assets
|
| | | | 28,603 | | | | | | 24,594 | | | | | | 21,664 | | | | | | 3,024 | | | | | | 19,544 | | | | | | 2,728 | | |
|
Goodwill
|
| | | | 44,758 | | | | | | 44,758 | | | | | | 44,758 | | | | | | 6,248 | | | | | | 44,758 | | | | | | 6,248 | | |
|
Restricted cash–non-current
|
| | | | 11,004 | | | | | | 1,575 | | | | | | 9,669 | | | | | | 1,350 | | | | | | 12,142 | | | | | | 1,695 | | |
|
Deferred tax assets
|
| | | | 2,992 | | | | | | 1,994 | | | | | | 997 | | | | | | 139 | | | | | | 498 | | | | | | 70 | | |
|
Financial assets at FVTPL–non-current
|
| | | | — | | | | | | — | | | | | | 56,919 | | | | | | 7,946 | | | | | | 58,151 | | | | | | 8,118 | | |
|
Other non-current assets
|
| | | | 46,273 | | | | | | 21,082 | | | | | | 20,025 | | | | | | 2,795 | | | | | | 20,684 | | | | | | 2,885 | | |
|
Total non-current assets
|
| | | | 311,918 | | | | | | 244,235 | | | | | | 405,775 | | | | | | 56,644 | | | | | | 510,696 | | | | | | 71,289 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
| Non-current liabilities | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Lease liabilities–non-current
|
| | | | 35,864 | | | | | | 22,309 | | | | | | 26,059 | | | | | | 3,638 | | | | | | 21,198 | | | | | | 2,959 | | |
|
Put option liabilities–non-current
|
| | | | 39,812 | | | | | | 40,449 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Long-term bank loan
|
| | | | — | | | | | | — | | | | | | 50,040 | | | | | | 6,985 | | | | | | 47,534 | | | | | | 6,635 | | |
|
Deferred tax liabilities
|
| | | | 6,481 | | | | | | 5,483 | | | | | | 4,486 | | | | | | 626 | | | | | | 3,988 | | | | | | 557 | | |
|
Other non-current liabilities
|
| | | | 5,943 | | | | | | 6,522 | | | | | | 4,677 | | | | | | 653 | | | | | | 8,097 | | | | | | 1,130 | | |
|
Total non-current liabilities
|
| | | | 88,100 | | | | | | 74,763 | | | | | | 85,262 | | | | | | 11,902 | | | | | | 80,817 | | | | | | 11,281 | | |
| | | |
As of December 31,
|
| |
As of
June 30, 2025 |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |||||||||||||||
|
Pre-tax discount rate
|
| | | | 20.2% | | | | | | 19.5% | | | | | | 18.6% | | | | | | 19.0% | | |
|
Terminal growth rate
|
| | | | 3.0% | | | | | | 2.2% | | | | | | 2.0% | | | | | | 2.0% | | |
| | | |
As of December 31,
|
| |
As of
June 30, 2025 |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
RMB
|
| ||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||
|
Pre-tax discount rate increase by 5%
|
| | | | (7,114,206) | | | | | | (9,034,662) | | | | | | (6,962,478) | | | | | | (6,943,805) | | |
|
Terminal growth rate decrease by 1%
|
| | | | (600,989) | | | | | | (729,956) | | | | | | (608,994) | | | | | | (610,526) | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| |||||||||
| Current assets | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Inventories
|
| | | | 156,005 | | | | | | 218,220 | | | | | | 204,705 | | | | | | 28,576 | | | | | | 289,929 | | | | | | 40,473 | | | | | | 310,314 | | | | | | 43,318 | | |
|
Contract assets
|
| | | | 92,597 | | | | | | 82,826 | | | | | | 28,005 | | | | | | 3,909 | | | | | | 35,336 | | | | | | 4,933 | | | | | | 35,282 | | | | | | 4,925 | | |
|
Trade receivables
|
| | | | 236,390 | | | | | | 266,933 | | | | | | 252,607 | | | | | | 35,263 | | | | | | 241,372 | | | | | | 33,694 | | | | | | 225,599 | | | | | | 31,492 | | |
|
Prepayments and other receivables
|
| | | | 74,459 | | | | | | 192,530 | | | | | | 197,652 | | | | | | 27,591 | | | | | | 191,127 | | | | | | 26,680 | | | | | | 372,267 | | | | | | 51,968 | | |
|
Prepayments to and
amounts due from related parties |
| | | | 3,122 | | | | | | 26,923 | | | | | | 26,618 | | | | | | 3,716 | | | | | | 50,917 | | | | | | 7,108 | | | | | | 40,540 | | | | | | 5,659 | | |
|
Financial assets at FVTPL–
current |
| | | | 1,218,524 | | | | | | 317,042 | | | | | | 1,685,146 | | | | | | 235,237 | | | | | | 1,735,333 | | | | | | 242,243 | | | | | | 1,747,476 | | | | | | 243,938 | | |
|
Time deposits
|
| | | | 1,057,292 | | | | | | 2,550,279 | | | | | | 620,148 | | | | | | 86,569 | | | | | | 251,733 | | | | | | 35,141 | | | | | | 252,409 | | | | | | 35,235 | | |
|
Cash and cash
equivalents |
| | | | 2,233,691 | | | | | | 1,661,152 | | | | | | 4,268,300 | | | | | | 595,832 | | | | | | 3,836,137 | | | | | | 535,504 | | | | | | 3,545,290 | | | | | | 494,903 | | |
|
Restricted cash–current
|
| | | | 1,393 | | | | | | 10,194 | | | | | | 4,814 | | | | | | 672 | | | | | | 3,273 | | | | | | 457 | | | | | | 3,548 | | | | | | 495 | | |
|
Subscription receivables
|
| | | | — | | | | | | 43,924 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Total current assets
|
| | | | 5,073,473 | | | | | | 5,370,023 | | | | | | 7,287,995 | | | | | | 1,017,365 | | | | | | 6,635,157 | | | | | | 926,233 | | | | | | 6,532,725 | | | | | | 911,933 | | |
| Current liabilities | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Trade payables
|
| | | | 11,505 | | | | | | 16,962 | | | | | | 20,713 | | | | | | 2,891 | | | | | | 47,117 | | | | | | 6,577 | | | | | | 56,528 | | | | | | 7,891 | | |
|
Preferred shares and other financial instruments subject to redemption
and other preferential rights |
| | | | 7,017,554 | | | | | | 8,181,722 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Other payables, deposits received and accrued expenses
|
| | | | 217,195 | | | | | | 271,306 | | | | | | 397,755 | | | | | | 55,526 | | | | | | 330,848 | | | | | | 46,185 | | | | | | 280,545 | | | | | | 39,162 | | |
|
Contract liabilities
|
| | | | 4,200 | | | | | | 12,498 | | | | | | 4,476 | | | | | | 625 | | | | | | 30,574 | | | | | | 4,268 | | | | | | 61,146 | | | | | | 8,536 | | |
|
Lease liabilities–current
|
| | | | 32,009 | | | | | | 31,098 | | | | | | 36,900 | | | | | | 5,151 | | | | | | 34,386 | | | | | | 4,800 | | | | | | 35,367 | | | | | | 4,937 | | |
|
Amounts due to related parties
|
| | | | 24,832 | | | | | | 77,827 | | | | | | 9,450 | | | | | | 1,319 | | | | | | 14,656 | | | | | | 2,046 | | | | | | 8,371 | | | | | | 1,169 | | |
|
Financial liabilities at FVTPL
|
| | | | 72,112 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Put option liabilities–
current |
| | | | — | | | | | | — | | | | | | 41,099 | | | | | | 5,737 | | | | | | 41,424 | | | | | | 5,783 | | | | | | 41,536 | | | | | | 5,798 | | |
|
Short-term bank loans
|
| | | | — | | | | | | — | | | | | | 30,019 | | | | | | 4,190 | | | | | | 102,275 | | | | | | 14,277 | | | | | | 200,408 | | | | | | 27,976 | | |
|
Income taxes payable
|
| | | | — | | | | | | — | | | | | | 2,077 | | | | | | 290 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Total current liabilities
|
| | | | 7,379,407 | | | | | | 8,591,413 | | | | | | 542,489 | | | | | | 75,729 | | | | | | 601,280 | | | | | | 83,936 | | | | | | 683,901 | | | | | | 95,469 | | |
|
Net current (liabilities)/assets
|
| | | | (2,305,934) | | | | | | (3,221,390) | | | | | | 6,745,506 | | | | | | 941,636 | | | | | | 6,033,877 | | | | | | 842,297 | | | | | | 5,848,824 | | | | | | 816,464 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Within 1 year
|
| | | | 11,505 | | | | | | 16,962 | | | | | | 20,713 | | | | | | 2,891 | | | | | | 47,117 | | | | | | 6,577 | | |
| | | |
Year Ended
December 31, |
| |
Six Months
Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Trade payables turnover days(1)
|
| | | | 17 | | | | | | 24 | | | | | | 27 | | | | | | 31 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Within 1 year
|
| | | | 242,168 | | | | | | 182,978 | | | | | | 179,986 | | | | | | 25,125 | | | | | | 175,043 | | | | | | 24,435 | | |
|
Over 1 year
|
| | | | 4,526 | | | | | | 119,504 | | | | | | 138,058 | | | | | | 19,272 | | | | | | 129,718 | | | | | | 18,108 | | |
| Total | | | | | 246,694 | | | | | | 302,482 | | | | | | 318,044 | | | | | | 44,397 | | | | | | 304,761 | | | | | | 42,543 | | |
| | | |
Year Ended December 31,
|
| |
Six Months
Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Trade receivables turnover days(1)
|
| | | | 96 | | | | | | 249 | | | | | | 314 | | | | | | 281 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Production supplies
|
| | | | 49,024 | | | | | | 58,151 | | | | | | 76,961 | | | | | | 10,743 | | | | | | 73,047 | | | | | | 10,197 | | |
|
Work in progress(1)
|
| | | | 106,981 | | | | | | 160,069 | | | | | | 127,744 | | | | | | 17,833 | | | | | | 216,882 | | | | | | 30,276 | | |
| Total | | | | | 156,005 | | | | | | 218,220 | | | | | | 204,705 | | | | | | 28,576 | | | | | | 289,929 | | | | | | 40,473 | | |
| | | |
Year Ended December 31,
|
| |
Six Months
Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Inventory turnover days(1)
|
| | | | 167 | | | | | | 313 | | | | | | 308 | | | | | | 321 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Government grants received with
conditions(1) |
| | | | 139,110 | | | | | | 176,426 | | | | | | 184,542 | | | | | | 25,761 | | | | | | 187,242 | | | | | | 26,138 | | |
|
Accrued payroll and social insurance
|
| | | | 56,879 | | | | | | 55,818 | | | | | | 96,593 | | | | | | 13,484 | | | | | | 76,510 | | | | | | 10,680 | | |
|
Payables for professional services
|
| | | | 5,674 | | | | | | 4,470 | | | | | | 27,134 | | | | | | 3,788 | | | | | | 33,970 | | | | | | 4,742 | | |
|
Taxes payable and others
|
| | | | 15,532 | | | | | | 34,592 | | | | | | 89,486 | | | | | | 12,493 | | | | | | 33,126 | | | | | | 4,625 | | |
| Total | | | | | 217,195 | | | | | | 271,306 | | | | | | 397,755 | | | | | | 55,526 | | | | | | 330,848 | | | | | | 46,185 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended
June 30, |
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | |||||||||||||||||||||||||||
|
Net cash used in operating activities
|
| | | | (670,381) | | | | | | (474,890) | | | | | | (593,595) | | | | | | (82,863) | | | | | | (327,180) | | | | | | (663,396) | | | | | | (92,606) | | |
|
Net cash (used in)/generated from investing activities
|
| | | | (2,202,414) | | | | | | (546,944) | | | | | | 325,505 | | | | | | 45,439 | | | | | | 453,236 | | | | | | 218,699 | | | | | | 30,529 | | |
|
Net cash generated from/(used in) financing activities
|
| | | | 2,184,588 | | | | | | 446,954 | | | | | | 2,823,875 | | | | | | 394,198 | | | | | | (8,877) | | | | | | 3,899 | | | | | | 544 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended
June 30, |
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
(unaudited)
|
| | | | | | | | | | | | | |||||||||||||||||||||||||||
|
Net (decrease)/increase in cash and cash equivalents
|
| | | | (688,207) | | | | | | (574,880) | | | | | | 2,555,785 | | | | | | 356,774 | | | | | | 117,179 | | | | | | (440,798) | | | | | | (61,533) | | |
|
Cash and cash equivalents as of January 1
|
| | | | 2,725,568 | | | | | | 2,233,691 | | | | | | 1,661,152 | | | | | | 231,888 | | | | | | 1,661,152 | | | | | | 4,268,300 | | | | | | 595,832 | | |
|
Effect of foreign exchange rate changes
|
| | | | 196,330 | | | | | | 2,341 | | | | | | 51,363 | | | | | | 7,170 | | | | | | 50,612 | | | | | | 8,635 | | | | | | 1,205 | | |
|
Cash and cash equivalents at the end of the year/period
|
| | | | 2,233,691 | | | | | | 1,661,152 | | | | | | 4,268,300 | | | | | | 595,832 | | | | | | 1,828,943 | | | | | | 3,836,137 | | | | | | 535,504 | | |
| | |||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | |
Payment Due by Period
|
| |||||||||||||||
| | | |
Total
|
| |
Less Than
1 year |
| |
1–2 Years
|
| |
2–5 Years
|
| ||||||||||||
| | | |
(RMB in thousands)
|
| |||||||||||||||||||||
|
Operating lease commitment
|
| | | | 59,385 | | | | | | 35,899 | | | | | | 14,428 | | | | | | 9,058 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
|
Personnel-related expenses(1)
|
| | | | 471,217 | | | | | | 566,735 | | | | | | 725,604 | | | | | | 101,290 | | | | | | 324,556 | | | | | | 453,548 | | | | | | 63,313 | | |
|
Direct service and production costs, including materials(2)
|
| | | | 260,165 | | | | | | 127,462 | | | | | | 193,345 | | | | | | 26,990 | | | | | | (54,064) | | | | | | 22,170 | | | | | | 3,095 | | |
| R&D(3) | | | | | 116,138 | | | | | | 148,234 | | | | | | 234,773 | | | | | | 32,773 | | | | | | 78,858 | | | | | | 151,210 | | | | | | 21,108 | | |
|
Product/servicing marketing(4)
|
| | | | 6,697 | | | | | | 6,466 | | | | | | 16,340 | | | | | | 2,281 | | | | | | 5,233 | | | | | | 9,310 | | | | | | 1,300 | | |
|
Non-income taxes, royalties and
other governmental charges |
| | | | 136 | | | | | | 4,619 | | | | | | 1,107 | | | | | | 155 | | | | | | 1,768 | | | | | | 929 | | | | | | 130 | | |
| Total | | | | | 854,353 | | | | | | 853,516 | | | | | | 1,171,169 | | | | | | 163,489 | | | | | | 356,351 | | | | | | 637,167 | | | | | | 88,946 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| |||||||||
| Current liabilities: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Preferred shares and other
financial instruments subject to redemption and other preferential rights(1) |
| | | | 7,017,554 | | | | | | 8,181,722 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Lease liabilities–current
|
| | | | 32,009 | | | | | | 31,098 | | | | | | 36,900 | | | | | | 5,151 | | | | | | 34,386 | | | | | | 4,800 | | | | | | 35,367 | | | | | | 4,937 | | |
|
Put option liabilities–current(2)
|
| | | | — | | | | | | — | | | | | | 41,099 | | | | | | 5,737 | | | | | | 41,424 | | | | | | 5,783 | | | | | | 41,536 | | | | | | 5,798 | | |
|
Short-term bank loans
|
| | | | — | | | | | | — | | | | | | 30,019 | | | | | | 4,190 | | | | | | 102,275 | | | | | | 14,277 | | | | | | 200,408 | | | | | | 27,976 | | |
| Non-current liabilities: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Lease liabilities–non-current
|
| | | | 35,864 | | | | | | 22,309 | | | | | | 26,059 | | | | | | 3,638 | | | | | | 21,198 | | | | | | 2,959 | | | | | | 23,418 | | | | | | 3,269 | | |
|
Put option liabilities–
non-current(2) |
| | | | 39,812 | | | | | | 40,449 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Long-term bank loan
|
| | | | — | | | | | | — | | | | | | 50,040 | | | | | | 6,985 | | | | | | 47,534 | | | | | | 6,635 | | | | | | 47,772 | | | | | | 6,669 | | |
| Total | | | | | 7,125,239 | | | | | | 8,275,578 | | | | | | 184,117 | | | | | | 25,701 | | | | | | 246,817 | | | | | | 34,454 | | | | | | 348,501 | | | | | | 48,649 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| |||||||||
| Bank loans | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Secured and unguaranteed
|
| | | | — | | | | | | — | | | | | | 50,040 | | | | | | 6,985 | | | | | | 87,554 | | | | | | 12,222 | | | | | | 117,871 | | | | | | 16,455 | | |
|
Unsecured and unguaranteed
|
| | | | — | | | | | | — | | | | | | 30,019 | | | | | | 4,190 | | | | | | 62,255 | | | | | | 8,690 | | | | | | 130,309 | | | | | | 18,190 | | |
| Total | | | | | — | | | | | | — | | | | | | 80,059 | | | | | | 11,175 | | | | | | 149,809 | | | | | | 20,912 | | | | | | 248,180 | | | | | | 34,645 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| |||||||||
|
Within 1 year
|
| | | | 32,009 | | | | | | 31,098 | | | | | | 36,900 | | | | | | 5,151 | | | | | | 34,386 | | | | | | 4,800 | | | | | | 35,367 | | | | | | 4,937 | | |
|
After 1 year but within 2 years
|
| | | | 20,626 | | | | | | 15,658 | | | | | | 20,883 | | | | | | 2,915 | | | | | | 13,237 | | | | | | 1,848 | | | | | | 13,068 | | | | | | 1,824 | | |
|
After 2 years but within 5 years
|
| | | | 15,238 | | | | | | 6,651 | | | | | | 5,176 | | | | | | 723 | | | | | | 7,961 | | | | | | 1,111 | | | | | | 10,350 | | | | | | 1,445 | | |
| | | | | | 67,873 | | | | | | 53,407 | | | | | | 62,959 | | | | | | 8,789 | | | | | | 55,584 | | | | | | 7,759 | | | | | | 58,785 | | | | | | 8,206 | | |
| | | |
As of/Year Ended December 31,
|
| |
As of/Six
Months Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Gross margin
|
| | | | 44.1% | | | | | | 45.7% | | | | | | 30.7% | | | | | | 30.6% | | |
|
R&D expenditure ratio(1)
|
| | | | 74.5% | | | | | | 61.3% | | | | | | 47.8% | | | | | | 67.8% | | |
|
Current ratio(2)
|
| | | | 0.69 | | | | | | 0.63 | | | | | | 13.43 | | | | | | 11.04 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| | | | | | | | | | | | | |||
|
Research and development
expenses |
| | | | 758,565 | | | | | | 1,058,395 | | | | | | 1,091,357 | | | | | | 152,348 | | | | | | 517,210 | | | | | | 644,635 | | | | | | 89,988 | | |
| Adjustments: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Add: Intangible assets acquired from third parties
|
| | | | 2,243 | | | | | | 127 | | | | | | 1,504 | | | | | | 210 | | | | | | — | | | | | | 117 | | | | | | 16 | | |
|
Less: Amortization expense of intangible assets included in
R&D expenses |
| | | | (283) | | | | | | (281) | | | | | | (300) | | | | | | (42) | | | | | | (144) | | | | | | (220) | | | | | | (31) | | |
|
R&D expenditure
|
| | | | 760,525 | | | | | | 1,058,241 | | | | | | 1,092,561 | | | | | | 152,516 | | | | | | 517,066 | | | | | | 644,532 | | | | | | 89,973 | | |
|
Total R&D expenditure
|
| | | | | | | | | | | | | | | | 2,911,327(1) | | | | | | 406,406 | | | | | | | | | | | | 3,555,859(2) | | | | | | 496,379 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| | | | | | | | | | | | | |||
|
Research and development
expenses |
| | | | 758,565 | | | | | | 1,058,395 | | | | | | 1,091,357 | | | | | | 152,348 | | | | | | 517,210 | | | | | | 644,635 | | | | | | 89,988 | | |
|
Administrative expenses
|
| | | | 237,236 | | | | | | 625,369 | | | | | | 1,138,802 | | | | | | 158,970 | | | | | | 208,293 | | | | | | 278,942 | | | | | | 38,939 | | |
|
Selling expenses
|
| | | | 23,574 | | | | | | 41,447 | | | | | | 53,566 | | | | | | 7,478 | | | | | | 22,784 | | | | | | 27,780 | | | | | | 3,878 | | |
| Adjustments: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Add: Intangible assets acquired from third parties and capitalized in R&D software
|
| | | | 2,243 | | | | | | 127 | | | | | | 1,504 | | | | | | 210 | | | | | | — | | | | | | 117 | | | | | | 16 | | |
|
Less: Amortization
expense of intangible assets included in R&D expenses |
| | | | (283) | | | | | | (281) | | | | | | (300) | | | | | | (42) | | | | | | (144) | | | | | | (220) | | | | | | (31) | | |
|
Total operating
expenditure |
| | | | 1,021,335 | | | | | | 1,725,057 | | | | | | 2,284,929 | | | | | | 318,964 | | | | | | 748,143 | | | | | | 951,254 | | | | | | 132,790 | | |
|
Total operating expenditure(1)
|
| | | | | | | | | | | | | | | | 5,031,321(2) | | | | | | 702,345 | | | | | | | | | | | | 5,982,575(3) | | | | | | 835,135 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended
June 30, |
| ||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
R&D expenditure ratio(1)
|
| | | | 74.5% | | | | | | 61.3% | | | | | | 47.8% | | | | | | 69.1% | | | | | | 67.8% | | |
|
Total R&D expenditure ratio
|
| | | | | | | | | | | | | | | | 57.9%(2) | | | | | | | | | | | | 59.4%(3) | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
(unaudited)
|
| | | | | | | | | | | | | |||
|
Purchase of property and equipment
|
| | | | (80,812) | | | | | | (36,650) | | | | | | (84,004) | | | | | | (11,726) | | | | | | (33,272) | | | | | | (134,354) | | | | | | (18,755) | | |
|
Purchase of intangible assets
|
| | | | (1,881) | | | | | | (304) | | | | | | (1,504) | | | | | | (210) | | | | | | — | | | | | | (117) | | | | | | (16) | | |
| Total | | | | | (82,693) | | | | | | (36,954) | | | | | | (85,508) | | | | | | (11,936) | | | | | | (33,272) | | | | | | (134,471) | | | | | | (18,771) | | |
|
Connected person
|
| |
Connected relationship
|
|
| Guangzhou Yuji Technology Co., Ltd. (廣州禹跡科技有限公司), or Guangzhou Yuji | | | A majority-controlled company of Mr. Ming Han (韓明), a brother of Dr. Han who is the chairman of our Board, executive Director, CEO, and one of our single largest group of Shareholders, and therefore a connected person of our Company pursuant to Rule 14A.07(4) of the Listing Rules | |
|
Shareholder
|
| |
Nature of interest
|
| |
Number of Shares
interested in as of the Latest Practicable Date(1)(2) |
| |
Approximate
percentage of interest in each class of Shares as of the Latest Practicable Date(2) |
| |
Number of
Shares interested in immediately following the completion of the [REDACTED](1)(3) |
| |
Approximate
percentage of interest in each class of Shares immediately following the completion of the [REDACTED](3) |
|
| | | | | | | | | |
(%)
|
| | | | |
(%)
|
|
| Class A Ordinary Shares | | | | | | | | | | | | | | | | |
|
Zhengzhou Xufeng(4)
|
| |
Beneficial interest
|
| |
[26,131,270] (L)
|
| |
[2.96]
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
| | | |
Interest in controlled corporation
|
| |
[40,913,212] (L)
|
| |
[4.63]
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Beijing Xufeng(4)
|
| |
Beneficial interest
|
| |
[40,913,212] (L)
|
| |
[4.63]
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Alliance Ventures(5)
|
| |
Beneficial interest
|
| |
63,680,080(L)
|
| |
[7.21]
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Qiming Venture Partners V, L.P.(6)
|
| |
Beneficial interest
|
| |
47,787,195(L)
|
| |
5.41
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Qiming Corporate GP V, Ltd.(6)
|
| |
Interest in controlled corporation
|
| |
49,269,870(L)
|
| |
5.58
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Humber Partners(7)
|
| |
Beneficial interest
|
| |
11,129,666(L)
|
| |
[1.26]
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
| Class B Ordinary Shares | | | | | | | | | | | | | | | | |
| XHL(8) | | |
Beneficial interest
|
| |
24,850,000(L)
|
| |
45.33
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
| THL(8) | | |
Beneficial interest
|
| |
16,399,590(L)
|
| |
29.92
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Humber Partners(7)
|
| |
Beneficial interest
|
| |
13,564,823(L)
|
| |
24.75
|
| |
[REDACTED]
|
| |
[REDACTED]
|
|
|
Name
|
| |
Age
|
| |
Position
|
| |
Time of
appointment as director |
| |
Time of joining
our Group |
| |
Responsibilities
|
|
| Executive Directors | | | | | | | | | | | | | | | | |
|
Dr. Tony Xu Han
(韓旭) |
| | 49 | | |
Chairman of our Board, executive Director and CEO
|
| | February 2018 | | | March 2017 | | |
Overseeing the overall executive and business direction and management of our Group
|
|
| Dr. Yan Li (李岩) | | | 51 | | |
Executive Director and CTO
|
| | December 2018 | | | March 2017 | | |
Overseeing the research and development and technology development of our Group
|
|
|
Non-executive Directors
|
| | | | | | | | | | | | | | | |
| Mr. Kazuhiro Doi | | | 65 | | |
Non-executive Director
|
| | April 2025 | | | April 2025 | | |
Participating in formulating the corporate and business strategies of our Group
|
|
|
Mr. Jean-François Salles
|
| | 57 | | |
Non-executive Director
|
| | March 2025 | | | March 2025 | | |
Participating in formulating the corporate and business strategies of our Group
|
|
| Independent Non-executive Directors | | | | | | | | | | | | | | | | |
| Ms. Huiping Yan | | | 59 | | | Independent non-executive Director | | | October 2024 | | | October 2024 | | |
Supervising and providing independent judgment to our Board
|
|
|
Mr. David Zhang
(張彤) |
| | 62 | | |
Independent non-executive Director
|
| | October 2024 | | | October 2024 | | |
Supervising and providing independent judgment to our Board
|
|
| Dr. Tony Fan-cheong Chan | | | 73 | | | Independent non-executive Director | | | [REDACTED] | | | [REDACTED] | | |
Supervising and providing independent judgment to our Board
|
|
|
Name
|
| |
Age
|
| |
Position
|
| |
Time of
appointment as senior management |
| |
Time of joining
our Group |
| |
Responsibilities
|
|
|
Dr. Tony Xu Han
(韓旭) |
| | 49 | | | CEO | | | April 2017 | | | March 2017 | | |
Overseeing the overall executive and business direction and management of our Group
|
|
| Dr. Yan Li (李岩) | | | 51 | | | CTO | | | March 2017 | | | March 2017 | | |
Overseeing the research and development and technology development of our Group
|
|
|
Dr. Hua Zhong (鍾華)
|
| | 49 | | | Senior vice president | | | March 2017 | | | March 2017 | | |
Overseeing the engineering and L4 technology development of our Group
|
|
|
Ms. Jennifer Xuan Li
(李璇) |
| | 37 | | |
CFO and Head of International
|
| | November 2020 | | | November 2020 | | |
Overseeing capital markets, investor relations, finance, international business, and public relations of our Group
|
|
|
Dr. Qingxiong Yang
(楊慶雄) |
| | 44 | | | Vice president | | | April 2021 | | | April 2021 | | |
Overseeing the research and development of our robosweeper
|
|