小马智行 (PONY.US、02026.HK) 2026年第二季度业绩电话会
文章语言：
简
繁
EN
Share
Minutes
原文
会议摘要
Pony AI reported Q2 2026 revenue of $36.2M (+69% YoY), with robotaxi revenue up 691% to $12.1M and robo-truck revenue up 40% to $13.3M. The robotaxi fleet reached 2,000 vehicles (target 3,500 by year-end) and surpassed 1.5M registered users in China, expanding in Guangzhou and Shenzhen. Internationally, over 4,000 vehicle commitments were secured, including 2,000 with Uber across five European cities, with commercial launches in Zagreb and Singapore. The company plans to scale robotaxi fleets in tier-1 cities first, then expand to tier-2/3, leveraging mature regulations and operational hubs to reduce wait times, improve retention, and lower costs. Operations rely on a highly automated model with approximately three staff per 100 vehicles, supported by standardized procedures and a joint-department model. The L4 light truck initiative, co-developed with CATL, offers three to four times the cargo capacity and twice the speed of existing vans, targeting urban logistics with partnerships including SF Express and China Post Technology. PolyWorld 2.0 automates local driving style adaptation, enabling rapid city deployments. Non-GAAP operating expenses grew only 9.6% while revenue grew 68.8%, narrowing the net loss to $45.4M, with a cash position of $1.39B supporting fleet and data center expansion.
会议速览
Pony AI Inc Q2 2026 Earnings Call Highlights Record GrowthThe earnings call for Pony AI Inc's Q2 2026 showcased significant growth, with management thanking investors, highlighting a multifold expansion, and inviting a Q&A session following prepared remarks. Forward-looking statements and non-GAAP measures were noted, with George Shaw facilitating the call and Dr. James P. leading the CEO remarks. Financial details and an earnings presentation were made available on the company's investor relations website.
Strong Revenue Growth & Fleet Expansion: A Strategic Win for Robo-Taxi LeaderThe company showcases robust top line growth, fueled by soaring global tax and fair charging revenues, while expanding its robot taxi fleet to 2000 vehicles, on track to reach 3500 by year end. Leadership in tier 1 cities is solidified with over 1.5 million registered users, and international operations are bolstered through joint deployment models, securing over 4000 vehicle commitments with Uber and other partners.
Expanding Autonomous Taxi Leadership in China and Overseas MarketsA discussion on the company's advanced autonomous taxi operations in China, highlighting proven driverless capabilities and user satisfaction, and its global expansion strategy through partnerships in international markets.
Joint Deployment Model Drives Capital-Efficient Expansion and Revenue GrowthThe joint deployment model leverages local ecosystems and partnerships to achieve capital-efficient expansion and strong revenue growth. By broadening partnerships, significant quarter-over-quarter growth in revenue contribution has been achieved. This model enables fast scaling, lower unit costs, and superior capital efficiency, unlocking massive commercial value. Recent expansion of partnerships, such as with Uber targeting premium markets, creates a repeatable growth engine, attracting more partners and driving a higher growth trajectory.
Robo Truck Business Achieves 40% Revenue Growth, Targets 20CD Goal by Year-EndThe robo truck business sees over 40% revenue increase YoY in Q2, expecting continued growth. With Gen 4 trucks in mass production and successful port deployments, the company aims to surpass its 20CD goal by year-end, expand into new markets, and achieve capital-efficient growth. CTO Tian Chen will discuss technological advancements.
Leveraging Robust Tech for Global Expansion and Efficiency in Automated DeliveryThe dialogue highlights how a unique tech stack enables rapid scaling and efficiency in both domestic and international markets, particularly in challenging urban environments. It showcases successful deployments in China and Croatia, emphasizing agile navigation and commercial returns. The robust generalization of technology across diverse regions facilitates rapid deployment, attracting top-tier partners for joint development. Beyond driving capabilities, the focus on operational efficiency underscores the company's expansion strategy.
Revolutionizing Robot Taxi Navigation with AI-Driven Poly World 2.0Poly World 2.0 automates issue resolution and model adaptation for diverse urban environments, significantly reducing manual engineering efforts and accelerating deployment across 20 cities this year.
Revolutionizing Fleet Operations: Technology-Driven Efficiency for Scalability and Industry LeadershipLeveraging technology, the company optimizes fleet management by eliminating the need for dedicated charging lots, allowing shared parking with human-driven vehicles. This approach significantly enhances the vehicle-to-staff ratio, reduces operational expenses, and boosts industry partners' interest in joint development models. As a result, the company gains a competitive edge and positions itself as a leader in driving industry-wide technical innovation.
Record-Breaking Q2 Revenues: Robot Taxi Leads 691% Surge in Autonomous Vehicle SegmentQ2 revenues soared 69% to $36.2M, driven by a 691% increase in robot taxi revenues to $12.1M, showcasing the effectiveness of the commercialization strategy. Overseas expansion and partnerships, notably with Uber, underpin the growth, while robo truck revenues climbed 40% to $13.3M, reflecting ecosystem synergies. Intelligent Solutions saw a 4% rise, totaling $10.8M for Q2, with the first half of 2026 revenues hitting $26.3M.
Financial Performance and Growth Strategy in Autonomous Driving SectorThe dialogue outlines financial achievements including revenue growth, cost efficiency, and narrowing operating margins, highlighting a strategy for scalable global expansion with disciplined capital allocation and joint deployment models, supported by robust cash reserves and market opportunities.
Uber's Strategic Choice of Autonomous Driving PartnerDiscusses Uber's rationale for partnering with a leading autonomous driving company, emphasizing technology reliability, cost efficiency, and cultural alignment. Highlights successful deployment of robot taxis in complex urban environments, particularly in Europe, and the expansion of collaboration based on positive economic outcomes and operational success.
Pony's Joint Deployment Model: A Capital-Efficient Win-Win Strategy for Fleet ExpansionThe dialogue discusses a joint deployment model designed to accelerate fleet expansion with capital efficiency, both domestically and internationally. It highlights a win-win alliance across the value chain, showcasing successful operations in tier 1 cities. The model involves partnerships with mobility platforms and local operators, generating recurring income through technology licensing fees and shared revenue. This approach broadens the revenue base and introduces higher margins, particularly in premium international markets, serving as a growth catalyst for 2026 and beyond.
Pony Wall 2.0's Evolving AI Model for Enhanced Autonomous DrivingPony Wall 2.0 leverages continuous AI evolution and loop engineering to improve ID efficiency and adapt to local driving styles, ensuring safe L4 autonomy. Unlike general open-source models, it focuses on real-world probability matching for precise traffic simulation, reducing the need for extensive engineering resources when entering new markets.
Pony's Strategy for Domestic Market Expansion and Fleet Growth in Tier 1 CitiesPony's domestic market strategy focuses on expanding fleets in tier 1 cities to leverage mature regulatory frameworks and high demand, aiming to improve margins and brand recognition. Plans include entering second and third-tier markets like Hangzhou and the Greater Bay Area to establish new growth engines.
Operational Efficiency in Robot Taxi Fleet ManagementDiscusses how operational efficiency, including vehicle utilization, charging, maintenance, and reduced human involvement, significantly lowers costs and accelerates deployment of robot taxis across cities, enhancing profitability and scalability.
Progress Update on L4 Light Truck Initiative: Synergy, Efficiency, and Market ExpansionThe L4 Light Truck initiative leverages existing technologies and infrastructure, enhancing logistics efficiency and expanding into urban delivery. With partnerships secured and a robust commercial ecosystem in place, the initiative is poised for significant market penetration and collaboration with OEMs and fleet operators, driving further demand integration into urban logistic networks.
Scaling Autonomous Driving: The Challenge of Safety and TrustDiscusses the complexity of scaling autonomous driving technology, emphasizing the importance of safety at scale and building regulatory trust, with a focus on expanding operations and fleet size.
Conference Call Concludes with Invitation for Further EngagementThe dialogue wraps up a conference call, inviting participants to contact the IR team for further questions and announcing the next quarter's meeting, concluding with instructions to disconnect.
要点回答
Q：What were the key highlights of Pony AI's second quarter 2026 earnings?
A：The key highlights of Pony AI's second quarter 2026 earnings include multifold expansion across the board, strong top-line growth with total revenue up year over year, rapid fleet scaling to 2000 vehicles, domestic deployment expansion with over 1.5 million registered users and international fleet deployment with secured vehicle commitments.
Q：How is the 'Du Engine' strategy contributing to Pony AI's success?
A：The 'Du Engine' strategy is contributing to Pony AI's success by resulting in robust top-line growth, as evidenced by the surge in global taxi revenue and fair charging revenue, and by rapidly scaling the robot taxi fleet and expanding the operational coverage both domestically and internationally.
Q：What are the requirements for robot taxi companies in China's Air 4 industry?
A：Robot taxi companies in China's Air 4 industry need to demonstrate proven driverless capabilities, positive user satisfaction, and verified safety records to achieve large-scale deployment. Pony AI is well-positioned to capitalize on this shift as it has already operated ahead of these rising standards.
Q：What is the significance of the 1.5 million registered users milestone for Pony AI?
A：The 1.5 million registered users milestone for Pony AI signifies a major achievement in user growth, as it has expanded its robot taxi services to the city center in Guangzhou, covering a significant operational area with a population of over 7 million. This indicates a strong user base and robust demand for its services.
Q：How is Pony AI's joint deployment model contributing to its global expansion?
A：Pony AI's joint deployment model is contributing to its global expansion by forming alliances with local partners to fulfill autonomous mobility demands, creating value for partners, and accelerating the international pipeline. It has secured vehicle commitments, including over 2000 robot taxis across five European cities with Uber, showcasing its proven model's viability globally.
Q：What were the results of the robo truck business in Q2, and what is the outlook for the second half of the year?
A：The robo truck business delivered outstanding results in Q2 with revenue up more than 40% year over year, and an expectation of sustaining or strengthening growth momentum in the second half of the year. It continued expanding long-haul operations, with the launch of commercial deployment of Gen 4 robo trucks at CSS Mar 1 port. The business is on track to surpass its 2022 goal in China's Tier 1 cities, with plans to widen competitive advantages and advance scaling.
Q：How does the company's technology ensure success in varied urban conditions?
A：The company's technology ensures success in varied urban conditions by validating its capabilities in challenging scenarios in major cities like Guangzhou and Shenzhen, and then replicating this success in high premium urban markets globally, despite variations in tax rules and driving habits.
Q：What is the role of the Poly World 2.0 system in enhancing the company's efficiency?
A：The Poly World 2.0 system plays a crucial role in enhancing efficiency by isolating deeply hidden issues, generating targeted solutions, and validating them for real-world deployment, which dramatically reduces the need for human engineers to address each case one by one.
Q：How does the new approach to entering a new city with Pointing World 2.0 reduce the need for manual labor?
A：With Pointing World 2.0, the new approach to entering a new city automates the process that previously required dozens of engineers to review local driver issues, analyze their root causes, upgrade the world model, retrain on-board models, and then deploy and validate the new model on the road.
Q：What is the impact of the company's scalability on operations?
A：The company's scalability provides a unique operational advantage that allows for rapid expansion into new markets. This efficient scaling also reinforces the company's competitive moat and positions its technical innovation as a core engine driving the entire industry forward.
Q：What is the operational advantage of having robot taxis charge in normal parking lots?
A：The operational advantage of having robot taxis charge in normal parking lots is that it eliminates the need for a closed, dedicated parking lot. This enables a small ground team to manage charging and service for a large fleet, optimizing personnel allocation and lowering operational costs.
Q：How is the company's tax-driven efficiency beneficial as it scales?
A：The company's tax-driven efficiency provides unique operational leverage as it scales across new markets. This efficiency not only reinforces its competitive moat but also positions its technical innovation as a key driver of industry progression.
Q：What notable revenue growth was reported in the second quarter and the first half of 2026?
A：In the second quarter and the first half of 2026, total revenues reached $36.2 million, representing a significant 69 percent increase from $21.5 million in the same quarter last year. Notably, robot taxi revenue grew 691 percent and robo truck revenues increased by 40 percent.
Q：What achievements were made in the robot taxi business in the recent quarter?
A：In the recent quarter, the robot taxi business achieved record-high revenues of $12.1 million, with a substantial growth rate of 691 percent from the previous quarter. The robust growth reflects the expansion of the robot taxi fleet into core downtown areas with high economic value and the success of the joint deployment model, as evidenced by the launch in Zagreb, Croatia.
Q：How does the robot truck revenue growth reflect on the company's strategy?
A：The robot truck revenue growth of 40 percent year over year to $13.3 million indicates the strength of the company's cross-segment synergies within its ecosystem. It reflects the successful application of technology and operational capabilities from global taxi urban environments to robo truck long haul routes.
Q：What was the change in net loss and net loss margin year over year?
A：The net loss narrowed significantly to $45.4 million from $66.7 million in the second quarter of 2025, marking a 14.9% year over year decrease. The net loss margin improved from -248.3% to -125.2%.
Q：How did capital expenditures for the first half of the year compare to the previous year?
A：Capital expenditures for the current quarter were $32.2 million, and for the first half of the year, they totaled $44.3 million. This was mainly driven by fleet and autonomy kit CapEx as the company sees a加速 in robot taxi operations in both domestic and overseas markets, along with increased spending in data centers to support greater scale deployment and ongoing R&D as the fleet expands.
Q：What is the capital allocation strategy under the Joint Deployment Model framework?
A：The capital allocation strategy under the Joint Deployment Model framework is designed to balance disciplined investment with scalable growth. It involves investing in technology and the owned fleet in key domestic markets while partners contribute fleet capital and local operating capability through the joint deployment model. This allows for expansion across China and international markets without a proportional increase in capital intensity.
Q：Why did Uber decide to work closely with the company and what are the main reasons for this collaboration?
A：Uber decided to work closely with the company due to the technology reliability at scale and attractive economics offered. The company has a proven track record of successful large-scale global taxi commercial operations, positive unit economics in several cities, and the ability to operate in a variety of scenarios. The total cost per mile is also the most competitive in the industry. Another important reason is the alignment of company cultures, with mutual appreciation and commitment leading to the expanded collaboration.
Q：What is the strategy for the joint deployment model and how does it work under an asset-light model?
A：The strategy for the joint deployment model is to accelerate fleet expansion with capital efficiency both domestically and internationally, creating a win-win model across the value chain. It involves sharing the most economic value per deployed vehicle among partners. Under the asset-light model, the company expands its fleet while maintaining lower hardware and operational costs. The details of the business model involve multiple parties, with the company supplying Gen 7 robot taxis and virtual driver capability.
Q：What is the purpose of the joint deployment business model mentioned?
A：The joint deployment business model aims to bring value to the mobility platforms and form a win-win alliance by leveraging partnerships with operating companies and mobility platforms to attract demand and manage fleet operations.
Q：What potential revenue sources does the financial perspective of the joint deployment business model offer?
A：The joint deployment business model could generate sharing-based revenue or technology licensing fees for Pony, broadening revenue base and introducing higher margin recurring income across the entire robot taxi operating lifecycle.
Q：How does the self-evolution and loop engineering in PonyWall 2.0 improve ID efficiency?
A：PonyWall 2.0 features a self-evolution and loop engineering that uses real-world feedback to continuously improve the on-board model through reinforcement learning. This process allows the system to match real-world scenarios more precisely, improving ID efficiency and handling local driving styles and extreme scenarios.
Q：What makes the world model in PonyWall 2.0 unique compared to a general-purpose open-source model?
A：The world model in PonyWall 2.0 is unique as it employs advanced statistical accuracy and precision to match real-world probability. It is continuously fine-tuned for local driving styles and offers capabilities to handle extreme scenarios worldwide.
Q：What strategy does Pony adopt for expanding its fleet在国内市场?
A：Pony's strategy for expanding its fleet在国内市场 involves focusing on high-value markets, particularly tier 1 cities with a significant demand for mobility and a mature regulatory framework. This focus aims to improve operational efficiency, enhance fleet utilization, and increase daily revenue per vehicle.
Q：How does Pony manage to achieve operational efficiency in its robot taxi operations?
A：Pony achieves operational efficiency by managing a fully driverless fleet, which is different from traditional taxi management. It requires a different ratio of one human for every 100 robots, handling tasks like cleaning, charging, and maintenance. This approach minimizes human involvement and results in lower operating costs per vehicle and advanced unit economics.
Q：What is the impact of scaling on operational costs and vehicle deployment?
A：Scaling allows Pony to improve operational efficiency, reduce per vehicle costs, and amortize operational costs, leading to a decrease in daily per vehicle costs and a continuous improvement of unit margins. This enables rapid expansion into new cities and deployment of more vehicles without inflating management overhead and cost.
Q：What is the relevance of the L4 light truck business to the company's vision and ambition?
A：The L4 light truck business is relevant to the company's vision and ambition as it aligns with the goal of autonomous mobility everywhere.
Q：How does the L4 light truck complement the company's current product offerings?
A：The L4 light truck complements the company's current product offerings by leveraging the same robotaxi driving capabilities and cost-efficient hardware as their current vehicles, as well as sharing the same customer base with their robo-hu.
Q：What are the logistical benefits of the L4 light truck compared to the current delivery van?
A：Logistically, the L4 light truck offers significant advantages such as three to four times the cargo capacity and twice the speed of the current load speed van, which can open up heavier loaded commercial applications across the full urban supply chain.
Q：Who are the current and potential partners in the L4 light truck initiative?
A：Current partners in the L4 light truck initiative include CATL for vehicle development and Asset Express and China Post Technology for deployment. There are also potential partnerships with more Oems and fleet operators in the pipeline to drive scaling up, and integration with urban logistic network platforms to capture further demand.
Q：What are the challenges in scaling up autonomous driving technology according to the discussion?
A：Scaling up autonomous driving technology presents challenges such as the exponential increase in risk due to scale, the need for extensive testing and a step-by-step approach with small fleet initializations, proving safety to regulators, and the technical difficulty of resolving issues without creating new ones. New players must demonstrate rapid scaling capabilities and earn trust with regulators before they can expand.
