XPEV

Chinese EV maker NIO's NIO second-quarter 2026 results show that the company is making progress on growth and profitability, although some of the risks that have weighed on the stock are still there. Its three-brand strategy is gaining traction, vehicle margins are improving and management expects positive operating and free cash flow in the second half. At the same time, rising costs, high debt and intense competition remain concerns. NIO's growth story is no longer limited to its namesake brand. The core NIO brand delivered 60,945 vehicles in the second quarter, while its flagship ES8 reached 140,000 cumulative deliveries in just 335 days. The ES8 also led China's RMB400,000-plus SUV segment. The ES9 similarly ranked first among vehicles priced above RMB500,000 for two consecutive months. The bigger positive is that NIO, ONVO and Firefly all increased both deliveries and average transaction prices year over year and sequentially. That suggests the multi-brand strategy is gaining traction rather than hurting the parent company's position. ONVO's L90 has already crossed 60,000 deliveries in its first year and leads the sub-RMB300,000 large-SUV segment. Firefly has also remained the top-selling model in the high-end compact-car segment for 15 straight months. NIO expects to deliver 108,000-111,000 vehicles in the third quarter, representing 24-27.5% year-over-year growth. Management also expects monthly deliveries to exceed 40,000 by the fourth quarter and is targeting 40-50% annual volume growth over the longer term. These are ambitious targets, but the recent delivery trends provide some support. NIO also made meaningful progress on margins. Vehicle margin nearly doubled from 10.3% a year ago to 18.5% in the second quarter, helped by a better product mix and lower costs. The challenge now is maintaining that level. Higher battery, semiconductor and other raw-material costs have already increased vehicle costs by about RMB14,000 per unit since late 2025. Management expects another RMB2,000-3,000 increase in the second half of 2026. Despite this pressure, it plans to keep vehicle margins around 18.5% in the second half. More importantly, NIO expects positive operating and free cash flow in both the third and fourth quarters. If the company delivers on that target, it could reduce some of the concerns around its cash burn and balance sheet. NIO's technology and battery-swap network also give the company some differentiation in an increasingly crowded EV market. Its new world-model-based ADAS system reportedly requires only about 20% of the cloud computing resources needed by competitors for similar performance. If that advantage holds up in real-world use, it could help reduce costs and eventually support subscription revenues from advanced driving features. NIO's battery-swap network is another advantage. The company now has 4,123 swap stations and 30,294 chargers globally. Its fifth-generation swap station can serve NIO, ONVO and Firefly vehicles. NIO plans to add another 1,000 swap stations in 2026, with Power Up partners helping fund the expansion. That could allow the network to grow without putting as much pressure on NIO's own cash resources. The improvements do not remove the risks. Rising input costs could put pressure on margins if NIO cannot offset them through supplier negotiations, cost reductions and product engineering. ONVO still needs to build stronger brand awareness. Its products may be gaining traction, but the brand does not yet have the recognition that NIO has built over the years. That could make customer acquisition more difficult as competition increases. The balance sheet is another concern. NIO's long-term debt-to-capitalization ratio stands at about 82%, well above the industry average of roughly 30%. That leaves the company with less financial flexibility, particularly if cash flow improvement takes longer than expected. Operating expenses are also rising, with SG&A up 11.6% year over year. Meanwhile, NIO continues to compete with industry leaders like Tesla, BYD, as well as its closest peers XPeng XPEV and Li Auto LI. The company therefore has little room for execution mistakes. Year to date, shares of NIO have declined 24%, wider than the industry’s loss but narrower than its closest peers Li Auto and XPeng. Shares of Li Auto and XPeng fell 29% and 45%, respectively, over the same timeframe. Image Source: Zacks Investment Research From a valuation perspective, NIO currently trades at a forward price-to-sales ratio of 0.44, slightly above its peer group. Image Source: Zacks Investment Research The Zacks Consensus Estimate for NIO’s 2026 and 2027 bottom line implies a year-over-year improvement of 90% and 195%, respectively. See how the estimates have been revised over the past 60 days. Image Source: Zacks Investment Research NIO's latest results provide enough evidence to stay invested, but not enough to justify an aggressive bullish stance. Deliveries are growing across all three brands, vehicle margins have improved sharply and the company is targeting positive free cash flow in the second half. However, rising costs, high leverage, higher expenses and intense competition remain meaningful risks. For now, NIO looks more like a “Hold” than a “Buy.” Investors who already own the stock can give the company more time to prove that its improving margins and cash flow are sustainable. NIO carries a Zacks Rank #3 (Hold).You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report NIO Inc. (NIO) : Free Stock Analysis Report Li Auto Inc. Sponsored ADR (LI) : Free Stock Analysis Report XPeng Inc. Sponsored ADR (XPEV) : Free Stock Analysis Report This article originally published on Zacks Investment Research (zacks.com). Zacks Investment Research

GUANGZHOU, China, Sept. 1, 2026 /PRNewswire/ -- XPeng Inc. ("XPENG" or the "Company," NYSE: XPEV and HKEX: 9868), a leading global Physical AI company, today announced its vehicle delivery results for August 2026. XPENG delivered 39,107 vehicles in August 2026, up 4% year-over-year. On August 11, 2026, the XPENG G9L made its official debut and commenced pre-sales in the Chinese mainland. In August, XPENG Robotaxi business validation gained further progress. The Company secured a permit to conduct remote testing of intelligent connected vehicles in Guangzhou, allowing road trials without an onboard safety operator on designated Level 1, 2 and 3 test roads across the city and marking a key milestone toward fully driverless road testing. XPENG's electric vehicles delivered from January to August 2026 are expected to reduce life-cycle greenhouse gas emissions by more than 3.72 million tons compared to internal combustion engine vehicles, equivalent to the carbon absorbed by 61.6 million young trees over 10 years. About XPENG XPENG is a leading global Physical AI company, dedicated to bringing artificial intelligence into the physical world to reshape future mobility and smart living. Through in-house R&D, XPENG has developed a full-stack Physical AI architecture spanning Turing AI chips, world foundation models, and highly integrated software and hardware applications. This unified technology foundation of XPENG powers an expansive product portfolio of smart EVs, robotaxis, and humanoid robots, advancing the deployment of Physical AI at scale. Headquartered in Guangzhou, China, XPENG is dual-primary listed on the New York Stock Exchange and the Hong Kong Stock Exchange. With global capabilities across R&D, manufacturing, sales, and services, XPENG drives continuous technological innovation and fosters an open Physical AI ecosystem, making life smarter, safer, and better for users worldwide. For more information, please visit https://www.xpeng.com/. Safe Harbor Statement This announcement contains forward-looking statements. These statements are made under the "safe harbor" provisions of the United States Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates" and similar statements. Statements that are not historical facts, including statements about XPENG's beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: XPENG's goal and strategies; XPENG's expansion plans; XPENG's future business development, financial condition and results of operations; the trends in, and size of, China's EV market; XPENG's expectations regarding demand for, and market acceptance of, its products and services; XPENG's expectations regarding its relationships with customers, suppliers, third-party service providers, strategic partners and other stakeholders; general economic and business conditions; and assumptions underlying or related to any of the foregoing. Further information regarding these and other risks is included in XPENG's filings with the United States Securities and Exchange Commission. All information provided in this announcement is as of the date of this announcement, and XPENG does not undertake any obligation to update any forward-looking statement, except as required under applicable law. Contacts: For Investor Enquiries: IR DepartmentXPeng Inc.Email: [email protected] Jenny CaiPiacente Financial CommunicationsTel: +1 212 481 2050 / +86 10 6508 0677Email: [email protected] For Media Enquiries: PR DepartmentXPeng Inc.Email: [email protected] View original content:https://www.prnewswire.com/news-releases/xpeng-announces-vehicle-delivery-results-for-august-2026-302865698.html

China-based EV company NIO Inc. NIO is slated to release second-quarter 2026 results on Sept. 1, before the opening bell. The Zacks Consensus Estimate for the to-be-reported quarter is pegged at a loss of 7 cents a share on revenues of $4.78 billion. The loss estimate for the second quarter of 2026 has remained stable over the past 60 days. The bottom-line projection indicates an improvement from a loss of 32 cents reported in the year-ago period. The Zacks Consensus Estimate for quarterly revenues suggests year-over-year growth of 80%. Image Source: Zacks Investment Research The Zacks Consensus Estimate for NIO’s 2026 revenues is pegged at $19.24 billion, implying a rise of 56% year over year. The consensus mark for the 2026 bottom line is pegged at a loss of 10 cents per share, indicating an improvement from a loss of 98 cents/share incurred in 2025. For 2027, the consensus mark for NIO’s top and bottom line implies an improvement of 19.5% and 195%, respectively, from projected 2026 levels. In the trailing four quarters, NIO surpassed EPS estimates thrice and missed on the other occasion, with the average earnings surprise being 53.3%. NIO Inc. price-eps-surprise | NIO Inc. Quote Our proven model does not conclusively predict an earnings beat for NIO this season. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the odds of an earnings beat. That’s not the case here. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter. NIO has an Earnings ESP of 0.00% and a Zacks Rank #2. You can see the complete list of today’s Zacks #1 Rank stocks here. For the three months ended June 30, NIO delivered 107,658 vehicles, representing a 49.4% increase year over year but missing its own guided range of 110,000-115,000 units. Second-quarter deliveries consisted of 60,945 units from the NIO brand, 29,124 units from the ONVO brand and 17,589 from Firefly. NIO’s second-quarter vehicle growth rate stands out against its closest peers Li Auto LI and XPeng Inc. XPEV. Li Auto delivered 98,330 vehicles in the June quarter, down roughly 12% from the year-ago period. Meanwhile, XPeng saw its second-quarter deliveries rise to 103,295 units, a modest increase from 103,181 units in the second quarter of 2025. NIO’s revenues for the quarter to be reported are expected to have benefited from increased deliveries. Our model estimates point to year-over-year growth of 69% in vehicle sales revenues in the to-be-reported quarter. On the flip side, commodity inflation is expected to have put pressure on margins. The company had already cautioned that increasing prices for memory chips, lithium carbonate, NCM battery materials, copper and aluminum might raise vehicle costs from the second-quarter of 2026. NIO expects second-quarter vehicle margins at 17-18%, down from 18.8% recorded in the first quarter. Year to date, shares of NIO have declined 14%, outperforming the industry, Li Auto and XPeng. Image Source: Zacks Investment Research From a valuation perspective, NIO currently trades at a forward price-to-sales ratio of 0.5, below Li Auto and XPeng. Image Source: Zacks Investment Research Despite near-term pressure on margins, NIO’s overall outlook is becoming increasingly attractive, supported by strong product momentum and margin expansion. Its refreshed vehicle lineup is emerging as a key growth driver. The All-New ES8 has gained significant traction since deliveries began in September 2025, with cumulative deliveries surpassing 120,000 units by June 22, 2026. The ES9 launch in May has further strengthened the company’s demand outlook. Although vehicle margins are expected to decline sequentially in the to-be-reported quarter, the longer-term trend remains positive. Higher volumes and a richer product mix have supported margin expansion, with NIO targeting a 17%-18% vehicle margin in 2026, compared with 14.6% in 2025. NIO’s battery-swap network remains another key competitive advantage. With more than 3,900 swap stations and 28,000 charging points, the company offers greater convenience while its Battery-as-a-Service model can reduce upfront ownership costs. Overall, strong product demand, improving profitability and its differentiated battery-swap ecosystem make NIO stock worth buying now. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report NIO Inc. (NIO) : Free Stock Analysis Report Li Auto Inc. Sponsored ADR (LI) : Free Stock Analysis Report XPeng Inc. Sponsored ADR (XPEV) : Free Stock Analysis Report This article originally published on Zacks Investment Research (zacks.com). Zacks Investment Research

Image source: The Motley Fool. Monday, Aug. 24, 2026 at 8:00 a.m. ET Head of Capital Markets - Alex Xie Co-Founder, Chairman and Chief Executive Officer - He Xiaopeng Vice Chairman and President - Brian Gu Vice President of Finance and Accounting - James Wu Operator: Hello, ladies and gentlemen. Thank you for standing by for the Second Quarter 2026 Earnings Conference Call for XPeng Inc. [Operator Instructions] Today's conference call is being recorded. I will now turn the call over to your host, Mr. Alex Xie, Head of Capital Markets of the company. Please go ahead, Alex. Alex Xie: Thank you. Hello, everyone, and welcome to XPeng's Second Quarter 2026 Earnings Conference Call. Our financial and operating results were issued via Newswire services earlier today and available online. You can also view the earnings press release by visiting the IR section of our website at ir.xiaopeng.com. Participants on today's call from our management team will include Co-Founder, Chairman and CEO, Mr. He Xiaopeng; Vice Chairman and President, Dr. Brian Gu; Vice President of Finance and Accounting, Mr. James Wu; and myself. Management will begin with prepared remarks, and the call will conclude with a Q&A session. A webcast replay of this conference call will be available on the IR section of our website. Before we continue, please note that today's discussion will contain forward-looking statements made under the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements involve inherent risks and uncertainties. As such, the company's results may be materially different from the views expressed today. Further information regarding these and other risks and uncertainties is included in the relevant public filings of the company as filed with the U.S. Securities and Exchange Commission. The company does not assume any obligation to update any forward-looking statements, except as required under applicable law. Please also note that XPeng's earnings press release and this conference call include the disclosure of unaudited GAAP financial measures as well as unaudited non-GAAP financial measures. XPeng's earnings press release contains a reconciliation of the unaudited non-GAAP measures to the unaudited GAAP measures. I will now turn the call over to our Co-Founder, Chairman and CEO, Mr. He Xiaopeng. Please go ahead. He Xiaopeng: [Interpreted] Good evening, everyone. I am pleased to share with our shareholders and investors that we have just announced the first round of financing for XPeng Robotics business. The business raised over USD 900 million at over USD 6.2 billion post-money valuation. This round was initiated by leading global investors, led by IDG Capital with participation from Gaorong Ventures in support from Tencent and Alibaba as strategic investors. Both the size and valuation of the first round of financing have set a new private financing record in China's humanoid robotic industry, underscoring the capital markets' strong endorsement of XPeng's leadership in physical AI technology road map, ability to manufacture at scale and long-term commercial value. The financing will provide ample capital to support the mass production and continued development of our advanced general purpose humanoid robot IRON. We will accelerate our progress towards the ChatGPT moment for physical AI whilst bringing additional strategic resources to strengthen the robotics ecosystem and expand real-world applications. As a global leader in physical AI, XPeng will not only lead the large-scale deployment and commercialization of autonomous driving worldwide, but also build the world's most valuable humanoid robot company. Today, we're very happy to see that we have taken another important step towards that goal. Since June, alongside my responsibilities as CEO of XPeng, I have also taken up on the role of the CEO of our Robotics business. Over the past 12 years, XPeng has remained committed to full stack in-house R&D across both software and hardware, building a solid technological and commercial foundation for the physical AI era. We are able to bring together and integrate the strengths and resources of the entire group. These include the supply chain, automotive grade manufacturing capabilities and global footprint developed through our automobile business as well as the Turing AI chips. AI infrastructure and world foundation models developed through our ADAS business. By applying these capabilities to our robotic business, I believe that we can accelerate the mass production and commercialization of XPeng's humanoid robots. We have been conducting our research and development in the area of robotics for more than 8 years, and I have always believed that the technological challenges and level of innovation required for advanced general purpose humanoid robots are far greater than those for smart EVs by at least 20x. To accomplish something that is this difficult, we need to have a broad and deep R&D and system integration capabilities across design and styling, hardware and chips, software and AI, data and control systems and quality and manufacturing. Only then can we succeed. XPeng is the only robot company in China with such comprehensive in-house R&D capabilities across the entire technological stack. This is why XPeng IRON fundamentally stands apart from other humanoid robots currently on the market with differentiated capabilities across multiple areas. Currently, our full in-house technology stack covers IRON's body, brain, cerebellum, data and infrastructure. On the hardware front, XPeng IRON features the industry's most human-like form and design. XPeng pioneered the industry's first fully enclosed flexible lattice structure for IRON, combining aesthetic appeal with enhanced safety with 76 degrees of freedom across the body and 21 degrees of freedom in each hand, both are at industry-leading levels. XPeng has independently designed and developed an AI-native hardware platform and all core components specifically for embodied intelligence, including chips, controllers, motion modules and dexterous hands. Leveraging our established smart EV R&D and manufacturing capabilities, we can achieve automotive grade quality and build the capability to manufacture and deliver at scale. In terms of intelligence, XPeng IRON is powered by three Turing AI chips, delivering effective computing power of up to 2,250 TOPS. With the industry's highest level of edge computing power, XPeng's physical AI foundation model runs directly on IRON, enabling it to autonomously perform complex work tasks without [ teleoperation ] whilst ensuring low latency inference and data security. IRON's highly human-like hardware platform provides a natural advantage in scaling data. It allows us to maximize the reuse of behavioral data generated in people's everyday lives and rapidly adapt to a broad range of environments designed for humans. As XPeng IRON moves ahead to mass production and real-world deployment, we will gain access to vast amounts of real-world and human demonstration data, accelerating the training and iteration of our AI models. In turn, continued improvements in model capabilities will allow IRON to enter more scenarios and generate more high-quality data, creating a flywheel across data models and applications that will accelerate IRON's evolution in the real world. XPeng IRON combines an exceptionally human-like design. The most intelligent AI brain and the highest standards of safety and quality. Only by doing so, can IRON become a trusted companion to people and truly become a part of everyday working life. We have recently achieved several major milestones in the development of the mass production version. Starting from September, we will unveil and demonstrate a series of distinctive capabilities. We plan to enter scaled production by year-end with initial commercial deployments in XPeng stores and campuses. In 2027, XPeng IRON will officially launch and begin large-scale deliveries in China and overseas to external customers in the retail and service sectors. Next year, monthly production capacities can rapidly ramp up to several thousand units in response to market demand. I believe the technological barriers to advanced general purpose humanoid robots are exceptionally high, while the supply of high-quality humanoid robots remain limited. As a result, the lifetime revenue and gross profit contribution of each IRON, including hardware sales and recurring revenue from upgrades to its AI model capabilities will be substantially higher than the current average selling price and gross profit per vehicle of our automotive business. I expect the commercialization of humanoid robots to scale rapidly in China and overseas following mass production, generating meaningful gross profit growth, supporting our investment in physical AI R&D and further widening our technological lead. Now I would like to come back to our automotive business. In the second quarter, our vehicle deliveries reached 103,295 units, up 65% quarter-over-quarter, and we achieved year-over-year growth ahead of the broader industry despite industry-wide cost pressures. Our operations remained resilient, supported by our progress in the premium segment in international markets, company's gross margin remained above 20% in the second quarter. Our tech-defined luxury flagship model, GX, stood out among a wave of large 6-seat SUVs launched this year. Domestic deliveries exceeded 7,000 units in July, making it one of the top three models in China's NEV SUV segment priced above RMB 300,000. MONA L03, the first SUV in the MONA series became a breakout hit immediately after its launch with orders setting a new record for any XPeng model. In the third quarter, new uncancelable orders increased by 50% -- 50% quarter-over-quarter to a record high. Extreme weather and supply chain disruptions affected our pace of ramping up in delivery. Here, I would like to especially express my sincere appreciation to our customers for their patience. We have started two shift production for the MONA L03 and are working closely with our supply chain partners to accelerate the capacity ramp. I expect that L03 deliveries will increase substantially over the coming months and continue to trend upward. The success of the GX and MONA L03 gives us more confidence in our upcoming models. We are translating our competitive strengths in the best-in-class intelligence and standout design into higher sales targets and stronger brand momentum. Our flagship 5-seat SUV, the G9L will officially launch and begin delivery in September. The MONA L05 will also launch in China in the fourth quarter. With the launch of 4 brand-new SUV models, we will cover all major SUV segments. We believe XPeng's deliveries to increase significantly in the fourth quarter with monthly deliveries targeting more than 60,000 units. Our international business is the second growth engine for XPeng's automotive business and also an important driver of improving profitability. Overseas quarterly deliveries exceeded 20,000 units for the first time in the second quarter, up 81% year-over-year. In the first half of the year, our international business accounted for more than 25% of total revenues. Furthermore, our overseas operations boast exceptional quality with an average selling price of our exports exceeding EUR 40,000, placing our per value revenue and gross profit at the forefront of Chinese automakers expanding globally. Since its global launch in Munich in July, the MONA L03 has attracted significant attention and earned high praise from overseas consumers for its intelligent technology, distinctive styling and spacious interior. I believe MONA L03 will become XPeng's first major model to achieve leading sales across multiple international markets. Overseas delivery of the MONA L03 are expected to begin in the fourth quarter, driving firm-wide quarterly overseas deliveries to exceed 40,000 units. In 2027, we will also introduce multiple star models, including extended range EV models in overseas markets, further expanding our geographic coverage and market share. Starting from end of August, we will roll out a major upgrade to VLA 2.0, once again validating the stating law in ADAS and delivering substantial improvements in both user experience and safety. With the new 6.3.0 major version, the number of parameters in the VLA 2.0 on-device model will increase by 3.5x, putting its parameter count in order of magnitude above that of small models commonly used in the industry. The new version delivers a 300% improvement in perception sensitivity, introduces ultra-long horizon reasoning and predictive capabilities and operates at an industry-leading frame rate. This enables the AI driver to see accurately, think ahead and respond quickly. The new version will also integrate ADAS and smart cockpit capabilities powered by VLA and VLM, bringing selected L4 level capabilities developed for XPeng Robotaxi to our passenger vehicles. One example is voice-activated pull over parking. Users simply give a voice command and VLA 2.0 will autonomously find a suitable roadside parking space and park the vehicle without exiting ADAS mode. Recently, together with my colleagues, we test drove XPeng's VLA 2.0 and the latest ADAS from a leading global peer in China, Europe and North America, respectively. In my view, VLA 2.0 is already on par with the world's leading ADAS on major roads. In narrow roads when negotiating as well as in campuses and parking facilities, the user experience delivered by VLA 2.0 is even better. It can navigate directly to a parking space with both efficiency and safety. I believe that as we upgrade computing power and model capabilities, VLA 2.0 will develop even more powerful capabilities over the next several version upgrades, delivering an L4 level ADAS experience in mass-produced vehicles, surpassing peers and establishing a generational lead. We continue to enhance VLA 2.0's model capabilities whilst accelerating its global deployment. Recently, my team and I completed on-road validation of VLA 2.0 in Germany and which was particularly encouraging was that the model primarily trained on data from China performed nearly as well on the European urban roads as it did in China with almost no additional local training data. We aim to obtain regulatory approval for VLA 2.0 in Europe first in the first half of next year and roll out VLA 2.0, bringing a safer, more comfortable and more convenient driving experience to users worldwide. After deploying in overseas market, VLA 2.0 will compete directly with the world's leading ADAS and become XPeng's defining competitive advantage for our global products. At the same time, we will actively explore new software-based business models, creating a positive cycle in which commercialization and technology development reinforce each other. As of now, our pre-installed mass-produced Robotaxi powered by VLA 2.0 has completed more than 2,000 internal test orders in Guangzhou and validated the full end-to-end process for trial passenger operations, laying the groundwork for commercial operations. Recently, we have completed the development of our cloud remote takeover platform, and our goal is to begin passenger operations without a safety operator in the car next year. In 2027, XPeng will continue strengthening the technology and cost competitiveness of our Robotaxi while partnering with leading domestic and international mobility platforms to expand our Robotaxi business across key cities in China and around the world. This will create greater commercial value through vehicle sales technological services and revenue sharing from operations. In the meantime, we believe that the large-scale application of physical AI requires more than technological breakthroughs, an open and collaborative technology and business ecosystem that creates value for multiple participants is equally important. To accelerate the commercialization of physical AI, we recently established a group level business development team within the group and are actively engaging with the partners in China and overseas to bring our industry-leading Turing AI chips, VLA 2.0, Robotaxi and humanoid robots technologies to global markets more quickly. For the third quarter of 2026, we expect deliveries to be approximately 115,000 to 121,000 units, representing quarter-over-quarter growth of 11.3% to 17.1%. Revenue is expected to be approximately RMB 21.7 billion to RMB 23.4 billion, representing quarter-over-quarter growth of 9.9% to 18.5%. I believe XPeng is entering a period of accelerating momentum across multiple business in the second half of the year. Both domestic and overseas vehicle deliveries are expected to reach new highs. We also expect to be among the first globally to achieve scaled mass production and commercialization of advanced general-purpose humanoid robots. We also expect to be among the first to deploy advanced ADAS technologies in overseas markets, and we will establish new business models around the physical AI ecosystem, creating greater value for customers and shareholders worldwide. Thank you, everyone. With that, I will now turn over the call to our VP of Finance, James, who will walk you through our financial performance for the second quarter of 2026. Jiaming Wu: Thank you, Xiaopeng. Now let me provide a brief overview of our financial results for the second quarter of 2026. I will reference RMB only in my discussion today, unless otherwise stated. Our total revenues were RMB 19.74 billion for the second quarter of 2026, an increase of 8% year-over-year and an increase of 51.5% quarter-over-quarter. Revenues from vehicle sales were RMB 17.05 billion for the second quarter of 2026, an increase of 1% year-over-year and an increase of 55% quarter-over-quarter. The quarter-over-quarter increase was mainly attributable to higher vehicle deliveries. Revenues from services and others were RMB 2.7 billion for the second quarter of 2026, representing an increase of 93.9% year-over-year and an increase of 32.6% quarter-over-quarter. The year-over-year and quarter-over-quarter increases were primarily attributable to the increased revenues from, first, technical R&D services rendered to the Volkswagen Group due to the successful achievement of certain key milestones and secondly, parts and accessory sales. Gross margin was 20.7% for the second quarter of 2026 compared with 17.3% for the same period of 2025 and 20.6% for the first quarter of 2026. Vehicle margin was 12.1% for the second quarter of 2026 compared with 14.3% for the same period of 2025 and 12.1% for the first quarter of 2026. The year-over-year decrease was primarily due to the production generation transition. R&D expenses were RMB 2.91 billion for the second quarter of 2026, representing an increase of 32.1% year-over-year and an increase of 0.3% quarter-over-quarter. The year-over-year increase was mainly due to higher expenses related to the development of new vehicle models and AI-related technologies as the company expanded its product portfolio to support the future growth. SG&A expenses were RMB 2.5 billion for the second quarter of 2026, representing an increase of 15.2% year-over-year and an increase of 32.5% quarter-over-quarter. The year-over-year increase was primarily due to higher marketing and advertising expenses the quarter-over-quarter increase was primarily due to the higher commission to the franchise stores and higher marketing and advertising expenses. As a result of the foregoing, loss of operations was RMB 1.14 billion for the second quarter of 2026 compared with RMB 0.93 billion year-over-year and RMB 1.87 billion quarter-over-quarter. Net loss was RMB 1.34 billion for the second quarter of 2026 compared with net loss of RMB 0.48 billion year-over-year and net loss of RMB 1.7 billion quarter-over-quarter. As of June 30, 2026, our cash position was RMB 40.48 billion. To be mindful of the length of the earnings call, I would encourage listeners to refer to our earnings press release for more details on our second quarter 2026 financial results. This concludes our prepared remarks. We'll now open the call to questions. Operator, please go ahead. Operator: [Operator Instructions] Your first question today comes from Tim Hsiao with Morgan Stanley. Tim Hsiao: [Foreign Language] So my first question is about volume and production target. So what is the projected production capacity for XPeng humanoid robot IRON upon entering commercial mass production by late 2026? And what is the target delivery volume for fiscal year 2027? That's my first question. He Xiaopeng: [Interpreted] Thank you for your question. This is Xiaopeng speaking. In terms of robot capacities versus automobile capacities, from our perspective, we do think that there is quite a large difference between those two. I think that when it comes to the capacities of the supply chain of robots, it is rather broad and deep. But in our company, we emphasize on multiple areas of full-stack research and development. And I think when it comes to about the challenges of capacities in the early stage, it is about quality. And in the later stage, it is about sales. In terms of mass production for 2026, and we expect that by year-end of 2026, we will see mass production at scale kicking in. For IRON, this product, and we believe that we will see the commercialization of the robot itself first starting with our stores. And in 2027, we will see that the commercialization will take place in the different areas of our own self-operated scenarios and rolling out as well as picking up the speed to external commercialization and user case scenarios. In terms of R&D, and I think that we are looking at starting from the mid and second half of next year in 2027, we will pick up the R&D development and the mass production units will be at multiple of several thousand units per month and further picking up the speed. One final part that I would like to supplement, which is that for the IRON robot deliveries, and this will mainly be rolled out in the areas of retail and services, both in China and abroad. And same as our automotive business, the delivery of our robots and sales will be authentic and genuine data and the figures that we will share. In terms of the quality of our robots services that it can provide, I believe that versus the other peers out there in the market when it comes to either the shopping assistance perspective or the intelligence level, we will definitely be better and stronger than the others as well as to be able to be used in a more wider and broader more adaptive environment. Tim Hsiao: [Foreign Language ] My second question is about the unit economics and margin profile. So what is the estimated unit cost for the mass production variant of IRON? And what go-to-market pricing strategy does management intend to deploy? And what is the anticipated gross profit margin trajectory, especially after the full-scale ramp? That's my second question. He Xiaopeng: [Interpreted] Thank you for your question. With respect to the mass produced robots, and I think that we are looking at from the perspective of innovation, quality, capacity and all of these for both our hardware and software. We're looking at doing the R&D research all in-house. And when it comes to the supply chain of all these parts, actually, over 85% of the supply chain partners that we work with actually overlap with the existing supply chain partners for our automotive business. I believe the cost of our robots, IRON robots competitiveness will definitely be leading in this area. At the moment, in terms of the pricing for robots in the market, generally speaking, it's about 2.5 to 3x of the [ BOM ] material. For IRON, given that this is a general purpose robot and there is a very limited supply in the market, and I do believe that for our gross margins of the hardwares will definitely be better than the existing automotive business. In the meantime, not only that we are relying on the sales of the hardware, there will also be sales of our different models and the software services, subscriptions, et cetera. These we believe will all bring in profits for our business. Those Concludes my answers to your questions. Operator: Your next question comes from Ming-Hsun Lee with Bank of America. Ming-Hsun Lee: [Foreign Language ] Which part of your robot foundation model can be highly synergistic with autonomous driving, which modules are shared and which are developed relatively independently? He Xiaopeng: [Interpreted] Thank you for your question. And in order to answer this question, in our industry, for instance, many people will say that in robots, generally, all they need is one brain and one large model that will be enough. Perhaps this is possible many years later, but I don't think that is viable as of now. In terms of the different large models, and there are different types. For instance, we have the super fast models, and those are operating at 100 frame per second or even several hundred frame per second. There are these medium speed models, large models and which are operating at 10 frames to 20 frames per second. And there are also the slow ones and slow large models, we call them the thinking large models. They operate at 1 frame per second. When it comes to the VLA and VLM and for instance, and those are the ones adopted in our automotive business. I believe there are similarities. And for instance, the currently VLA adopted in the automotive business when it comes to the roaming in non-planned roads, and that will be quite similar to the roaming or moving around of the robots. For robots, on the other hand, I also believe that some of the thinking capabilities of robots such as on the open platform next year can also be put into use for our XPeng’s automotive business. So you can see that there are definitely some synergistic commonalities there. In the meantime, there are also some unique perspective and the points of the robots and such as the different mode for safety. And for instance, there are the models of safety such as data privacy and safety about prevention of [ falling ] and data safety about lack of running out of electricity, et cetera. So as you can see, there are commonalities and all of these features we are developing under the large XPeng system altogether. And even so and if we look at the further underlying system, and there are many other areas that are quite similar, for instance, the generation of the generative models and as well as the mimicking and the simulation models, et cetera. So those are the similarities. Sorry, before you move on to your second question, and I would also like to supplement that apart from the models and whether it is about the AI applications or the applications of the overall architecture and structure, and these are also the ones that we do share across the two different parts of the business. Ming-Hsun Lee: [Foreign Language ] What Differentiated advantages does XPeng have in robot data collection, training and closed-loop iteration? He Xiaopeng: [Interpreted ] Thank you. That is a great question. And I do believe that in terms of the physical AI and in the future and data is, of course, the key. Many people say that as long as you have enough data and that will help with the integration of the services. It is a necessary condition. However, it is not yet the full condition. And what we would see is that for XPeng and what we are good at is that we have much better data and the training of the data, we also have a higher quality of the data. For XPeng, for instance, we have been in the area of autonomous driving for over 10 years within not only our R&D for the past over a decade of experience as well as the data that we have collected, we are absolutely leading in the industry among our peers. In terms of the robots, it is the same. For the robots data management, data training and data quality, all of these are being developed under the same ecosystem at our company. And I believe that apart from the hardwares being different in terms of the collection of the data and all the way to the application of the data at our company for our 2 different lines of business would be the same. For IRON, again, once these products become mass produced and launched into the market, not only that we will be further continuing to collect real-world data as well as the human demonstrated data and which are both sets of high-quality data, and this will further drive the development and R&D of our product. And this is different from the low-quality data and which are not helpful at all. So I believe that by having all of these, we'll actually be able to create a flywheel of the high-quality data and the R&D that we are conducting and continue to contribute to the development of our products. That's all my answer for your question. Thank you. Operator: The next question comes from Jeff Chung with Citi. Ming Chung: [Foreign Language] My first question is about why did XPeng Robotics select the salesperson, the tour guide scenario as an initial real-world deployment. Who are the target customers? Why would customers buy IRON? And most importantly, are there follow-up plans to expand into industrial and home use cases? He Xiaopeng: [Interpreted ] Thank you very much for your question. For XPeng's robots, yes, indeed, when it comes to commercialization, we have gone down a different route versus other competitors. Many other competitors, they are focusing on breaking into the market by ways of entering into factories, home usage and mainly for [ B2B ] business. What we are looking at is that we are focusing on the large-scale Cs as well as the small and medium Bs. And that is, so to speak, we start entering into the market with business commercialization cases followed by industries and home uses at a later stage with the smaller SKUs. The reason we have picked the salespersons and tour guides, et cetera. It is because that we believe both in China and abroad, and there are 4 major comprehensive capabilities of our robots that are very helpful and would be able to be reflected very well in these sectors. And the 4 comprehensive capabilities are as follows: Number one is the main body and the main hardware of the robots itself; number two, the environment; number three, the business that it provides; and number four, the emotional values that it brings. Therefore, starting from commercial usage cases and starting from the smaller type of business and the smaller and medium type of business industries that we go in. And later on with IRON, of course, when it starts opening up the market, and we will also open up SDKs to enable secondary development as well as further expand its user cases. With these commercial use scenarios for collaboration, and we believe that this will also open up more channels for XPeng's robots business, not only for offline sales, but as well as for online sales so that our customers would be able to see the use cases for our robots and not only for the big customers but as well as for the small and medium business. So this is our thinking in the regard and which is different from our peers. Ming Chung: [Foreign Language] The second question is about the latest progress on the company's self-developed dexterous hand. What overall design approach has been adopted? And how does it compare with peers in terms of performance and cost? He Xiaopeng: [Interpreted ] Thank you very much for your question. And yes, indeed, dexterous hand is an extremely important part for robots. And for our robots, and we have one set of hardware, one set of software as well as 3 sets of different perceptive systems. In terms of the specific mass production plans, we will be communicating with the analysts by year-end. We are not only just conducting the R&D of dexterous hand, and we have also invested greatly into the manufacturing of the processing of dexterous hand as well as the equipment in this regard. The dexterous hand for our robots, and we have 21 degrees of freedom, as mentioned earlier, in terms of the size of the product of the dexterous hand, it is the exact same size as the hand of an adult. And when it comes to the load-bearing capabilities as well as grasping and gripping, we believe that our dexterous hand is in the leading position versus the other peers. I know that in the industry that people often talk about another type of hand, and we do not think that is the smart choice to go for. We are not focusing on the force or the accuracy itself of dexterous hand. And what we are focusing on rather is on striking a good balance of safety, reliability, easy to maintain and cost. And for instance, our dexterous hand also has a very nice set of skin that is very similar to the human hand. Operator: Your next question comes from Nick Lai with JPMorgan. Y.C. Lai: [Foreign Language] First question is really about the ADAS technology chairman mentioned that in first half '27, we'll start to deploy a model in overseas market, starting from Germany with the VLA 2.0 technology. I wonder how many models will be equipped with such technology in overseas market? And also, can you elaborate a bit more about our business model, including subscription and onetime payment strategy in the long term in overseas market. He Xiaopeng: [Interpreted] Thank you very much for your question. Given that the signal wasn't coming through very clearly, and I could only hear some keywords of your questions. So I'll try my best to answer your question based on what I have heard. Number one, with respect to the Turing AI chips, and this has already been deployed to our L03 vehicles for the ones that which are launched to the overseas market as well, and all of these will have the Ultra version. For VLA, and this will be deployed in L03 models across all different markets. And in the meantime, we're also catching up and working with the compliance and local laws and regulations and localization work, testing, all of these are being done at the same time in tandem. And in the meantime, we are looking at for instance, about the subscription service of the software for our customers and such updates will be announced and shared with you all in due course. We have also established another BD team, and this team is actively discussing with our partners and with respect to the VLA usage or even further expanded into other areas. Operator: Your next question comes from Tina Hou with Goldman Sachs. Tina Hou: [Foreign Language] So my first question is regarding -- so with the volume production of our humanoid robot product. And also congratulations on the announced equity raising today. Just wondering what would be the expected time line of profitability for humanoid robot business? Or in other words, what level of sales volume should we achieve in order to become profitable? Also related to that, do we have any plans to report our profit level separately for the humanoid robot as well as the auto business so that I think the market investors could have a better understanding of the profitability of these 2 separate businesses. Gui Hongdi: Tina, it's Brian. Let me address your question. With regard to the financial outlook of the robotic business, I think it's bit too early for us to comment. I would say we are now focused on the milestones that Xiaopeng shared, which is reach SOP for our robots for volume production capability by the end of this year and also start deploying first in our internal scenarios and gradually offer to external customers starting, I would say, the first half of next year and gradually ramp up from that. So that's our goal. I would say it's too early for us to provide a volume prediction guidance. On the profitability, we anticipate the product of human robot will achieve much higher gross profit potential compared to the automotive business. In fact, I would say it's -- the hardware is already much higher than the automotive business. In addition to that, we think there will be significant opportunities to add on future AI model training, upgrade, software capability related revenues, which is much higher margin as well. So given the high profitability, I would say, expectation as well as, I would say, much smaller investment and CapEx requirement for robotic business. I would say once volume ramp-up is achieved, I would say probability can become reality much faster than the auto business. So that's our projection. And also to answer your question regarding the potential separation of the businesses. At the moment, actually, the business are operating together. In fact, we have not started any separation of the business. We obviously, according to the announcement you saw, we actually have a period of 18 months that gradually allow us to achieve a separation. But in the meantime, what we're going to be focused on still achieving high degrees of synergy because we talked about leveraging the capabilities in AI, the capability on sort of advanced manufacturing, powertrain, supply chain, so forth. So actually, the 2 business can both achieve high efficiency and greater, I would say, capabilities. So with that, I think the near-term expectation is it will still be mostly viewed together as a business. And also as the volume production and also as the commercialization scenarios become more clear, we'll probably think about more likely separations. But in any event, given the ownership structure, this business will be 100% consolidated. It will not impact our financials going forward, even though the business may start to separate based on the plan. So I think in short, we still see the group consolidating all the financials of the robotic business. At the same time, we'll really think about the most efficient and also most synergistic way to run the business. Operator: That concludes the question-and-answer session. Now I'd like to turn the call back over to the company for closing remarks. Alex Xie: Thank you once again for joining us today. If you have further questions, please feel free to contact XPeng's IR team through the contact information provided on our website or the Piacente Financial Communications. Operator: This concludes today's conference call. You may now disconnect your line. Thank you. Before you buy stock in XPeng, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and XPeng wasn’t one of them. The 10 stocks that made the cut are built for long-term growth and could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $429,223!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,317,883!* That performance is why people listen. With a track record of beating the S&P 500 by nearly 5x, Stock Advisor offers a distinct advantage. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built for the long haul. See the 10 stocks » *Stock Advisor returns as of August 24, 2026. This article is a transcript of this conference call produced for The Motley Fool. While we strive for our Foolish Best, there may be errors, omissions, or inaccuracies in this transcript. As with all our articles, The Motley Fool does not assume any responsibility for your use of this content, and we strongly encourage you to do your own research, including listening to the call yourself and reading the company's SEC filings. Please see our Terms and Conditions for additional details, including our Obligatory Capitalized Disclaimers of Liability. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy. XPeng (XPEV) Q2 2026 Earnings Call Transcript was originally published by The Motley Fool

Xpeng (XPEV) shares tanked on Aug. 24 after the Chinese electric vehicle (EV) manufacturer’s Q2 earnings missed estimates and management issued disappointing guidance for the future. The company now sees its revenue falling between RMB21.7 billion and RMB23.4 billion in the third quarter, well below RMB26.69 billion that analysts had forecast. Following today’s decline, Xpeng stock is down roughly 45% versus the start of this year. Soros Fund Management Opened a New Position in Nebius During Q2. What This Means for NBIS Stock. Nvidia Earnings, Jackson Hole and Other Key Things to Watch this Week Ahead of Nvidia Earnings, Here's What Barchart Data Says Comes Next for NVDA Stock Tired of missing midday reversals? The FREE Barchart Brief newsletter keeps you in the know. Sign up now! Long-term investors nonetheless have reason to be excited about XPEV shares. Why? Because alongside earnings, the Chinese company said its robotics business has raised over $900 million in its first funding round, securing a post-money valuation exceeding $6.3 billion. The financing, backed by major investors including Tencent (TCEHY) and Alibaba (BABA), represents a record single private funding round for Beijing’s embodied-AI sector. Xpeng plans on using the proceeds to accelerate robotics hardware and software development, physical-AI models, data collection, manufacturing capacity, and overseas expansion. The NYSE-listed firm also aims to produce 1,000 IRON humanoid robots per month by the end of 2026 — with initial deployments at retail and industrial locations and broader commercialization targeted for 2027. The robotics business announcement is significant given it signals potential upside that may not be fully reflected in Xpeng shares’ valuation yet. XPEV remains attractive also because the strength in its services and other businesses helped drive a 340bps year-on-year increase in the firm’s overall gross margin to 20.7% in its second quarter. In short, investors are fixating on the muted near-term outlook for now. However, the combination of expanding overall margin, rapidly growing services segment, and a robotics unit worth over $6.3 billion suggests there may be more to the XPEV story than the EV business alone. It's also worth mentioning that Wall Street remains positive on XPEV stock for the remainder of 2026. According to Barchart, the consensus rating on Xpeng sits at “Moderate Buy,” with the mean price target of $21.59 indicating potential for a whopping 90% rally from current levels. On the date of publication, Wajeeh Khan did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Barchart.com

Interested in XPENG Inc. Sponsored ADR? Here are five stocks we like better. XPeng’s robotics unit raised over $900 million at a valuation above $6.2 billion, with scaled production of its Iron humanoid robot targeted by the end of 2026 and commercial launches planned for 2027. Second-quarter revenue rose 8% year over year to RMB19.74 billion, while deliveries increased 65% sequentially to 103,295 vehicles. Gross margin improved to 20.7%, but the company still reported a RMB1.34 billion net loss. XPeng expects third-quarter deliveries of 115,000–121,000 vehicles and is expanding internationally, where second-quarter deliveries grew 81% year over year. The company also plans new vehicle launches and further advances in its VLA driver-assistance and Robotaxi programs. Smart Money Is Buying Auto Suppliers, Not Car Brands XPENG (NYSE:XPEV) said its robotics business raised more than $900 million in an initial financing round at a post-money valuation exceeding $6.2 billion, as the electric-vehicle maker outlined plans to begin scaled production of its Iron humanoid robot by the end of 2026. Chief Executive Officer He Xiaopeng said the financing was led by IDG Capital, with Gaorong Ventures participating and Tencent and Alibaba serving as strategic investors. He said the funding would support development and mass production of Iron, while adding resources for the company’s robotics ecosystem and real-world applications. → 3 Beaten-Down Stocks That Haven’t Gotten the Message About the S&P 500’s Record Run Act Fast: These 3 Undervalued Stocks Won’t Stay Low for Long He, who has led XPeng’s robotics business in addition to serving as the company’s CEO since June, said the company intends to apply resources developed in its automotive operations—including automotive-grade manufacturing, supply-chain relationships, Turing AI chips, AI infrastructure and autonomous-driving data capabilities—to humanoid robotics. XPeng said its Iron robot incorporates a full in-house technology stack spanning the body, AI “brain,” motion-control systems, data and infrastructure. The company said Iron has 76 degrees of freedom across its body and 21 degrees of freedom in each hand. It is powered by three Turing AI chips providing up to 2,250 TOPS of computing power, according to management. → 3 Stocks Came Roaring Back—Now They’re Flashing Warning Signs MarketBeat Week in Review – 04/14 - 04/18 The company plans to enter scaled production of Iron by the end of 2026. Initial commercial deployments are expected at XPeng stores and campuses, followed by use in the company’s own commercial settings and selected external applications in the first half of 2027. XPeng plans to formally launch Iron in 2027 for external retail and service-sector customers in China and overseas. He said monthly production capacity could rise to several thousand units next year based on market demand, though management did not provide a full-year delivery target. → 2 Biotech Stocks Shaping Up for Major Breakouts In response to questions about economics, He said more than 85% of Iron’s supply-chain partners overlap with XPeng’s automotive supply chain. He said Chinese robots are generally priced at about 2.5 to three times their bill of materials, and XPeng expects Iron hardware gross margins to exceed those of its vehicle business. Management also expects potential recurring revenue from AI-model upgrades, software and related services. Vice Chairman and President Brian Gu said it was too early to provide a profitability timeline or volume guidance for the robotics business. However, he said the company expects humanoid robots to have greater gross-profit potential than automobiles and potentially require lower investment and capital expenditures once production ramps up. Gu added that the robotics unit remains consolidated with XPeng’s operations. While the company has an 18-month period to work toward a separation under the announced arrangement, management said it remains focused on operational synergies between the vehicle and robotics businesses. For the second quarter of 2026, XPeng reported total revenue of RMB19.74 billion, up 8% from a year earlier and 51.5% sequentially. Vehicle sales revenue rose 1% year over year and 55% from the first quarter to RMB17.05 billion, driven primarily by higher deliveries. Services and other revenue increased 93.9% from a year earlier to RMB2.7 billion. Vice President of Finance and Accounting James Wu attributed the increase mainly to technical research and development services provided to Volkswagen Group after certain project milestones were achieved, as well as parts and accessories sales. Second-quarter vehicle deliveries were 103,295, up 65% sequentially. Gross margin was 20.7%, compared with 17.3% a year earlier and 20.6% in the first quarter. Vehicle margin was 12.1%, unchanged from the first quarter and down from 14.3% a year earlier, which Wu attributed primarily to a production-generation transition. Research and development expenses rose 32.1% year over year to RMB2.91 billion, reflecting investment in vehicle models and AI-related technologies. Net loss was RMB1.34 billion, compared with a RMB480 million loss a year earlier and a RMB1.7 billion loss in the first quarter. Cash stood at RMB40.48 billion as of June 30. He said XPeng’s GX flagship SUV delivered more than 7,000 units in China during July, placing it among the top three new-energy SUV models priced above RMB300,000, according to the company. He also said orders for the MONA L03 SUV set a record for an XPeng model, while new noncancelable orders in July and August rose more than 50% sequentially to a record high. The company said extreme weather and supply-chain disruptions affected its production ramp, but it has begun two-shift production for the MONA L03. XPeng plans to launch and begin deliveries of its G9L five-seat SUV in September and introduce the MONA L05 in China during the fourth quarter. Management is targeting monthly vehicle deliveries above 60,000 units in the fourth quarter. Overseas deliveries exceeded 20,000 vehicles in the second quarter, rising 81% year over year, XPeng said. International operations represented more than 25% of first-half revenue, with average export selling prices above €40,000. The company expects overseas deliveries of the MONA L03 to begin in the fourth quarter and said this could lift quarterly overseas deliveries above 40,000 units. For the third quarter, XPeng forecast deliveries of 115,000 to 121,000 vehicles, representing sequential growth of 11.3% to 17.1%. It projected revenue of RMB21.7 billion to RMB23.4 billion, up 9.9% to 18.5% from the second quarter. XPeng also said it plans to roll out version 6.3.0 of its VLA 2.0 driver-assistance system beginning in late August. The company said the update will increase on-device model parameters by 3.5 times, improve perception sensitivity by 300%, and add longer-horizon reasoning capabilities. Management said it aims to obtain European regulatory approval for VLA 2.0 in the first half of 2027. XPeng said its VLA-powered Robotaxi fleet has completed more than 2,000 internal test orders in Guangzhou, and the company aims to begin passenger operations without an in-car safety operator next year. XPENG Inc (NYSE: XPEV) is a China-based developer and manufacturer of smart electric vehicles. The company designs, engineers and sells battery-electric sedans and sport-utility vehicles along with related software and services. Founded in 2014, XPENG positions itself as a technology-driven automaker with a focus on vehicle connectivity, software-defined features and advanced driver assistance systems. Product offerings center on passenger EVs spanning compact crossovers and midsize sedans, supported by in-house software platforms and over-the-air update capabilities. This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected]. The article "XPENG Q2 Earnings Call Highlights" was originally published by MarketBeat. View MarketBeat's top stocks for August 2026.

This article first appeared on GuruFocus. Total Revenues: RMB 19.74 billion for Q2 2026, up 8% year-over-year and 51.5% quarter-over-quarter. Vehicle Sales Revenues: RMB 17.05 billion, up 1% year-over-year and 55% quarter-over-quarter. Services and Others Revenues: RMB 2.7 billion, up 93.9% year-over-year and 32.6% quarter-over-quarter. Gross Margin: 20.7% for Q2 2026, compared with 17.3% in Q2 2025 and 20.6% in Q1 2026. Vehicle Margin: 12.1% for Q2 2026, compared with 14.3% in Q2 2025 and 12.1% in Q1 2026. R&D Expenses: RMB 2.91 billion, up 32.1% year-over-year and 0.3% quarter-over-quarter. SG&A Expenses: RMB 2.5 billion, up 15.2% year-over-year and 32.5% quarter-over-quarter. Loss from Operations: RMB 1.14 billion for Q2 2026, compared with RMB 0.93 billion in Q2 2025 and RMB 1.87 billion in Q1 2026. Net Loss: RMB 1.34 billion for Q2 2026, compared with RMB 0.48 billion in Q2 2025 and RMB 1.7 billion in Q1 2026. Cash Position: RMB 40.48 billion as of June 30, 2026. Vehicle Deliveries: 103,295 units in Q2 2026, up 65% quarter-over-quarter. Overseas Deliveries: Exceeded 20,000 units in Q2 2026, up 81% year-over-year. Q3 2026 Guidance: Deliveries expected to be 115,000 to 121,000 units; revenue expected to be RMB 21.7 billion to RMB 23.4 billion. Warning! GuruFocus has detected 2 Warning Signs with XPEV. Is XPEV fairly valued? Test your thesis with our free DCF calculator. Release Date: August 24, 2026 For the complete transcript of the earnings call, please refer to the full earnings call transcript. XPeng Inc (NYSE:XPEV) secured over USD900 million in first-round financing for its robotics business at a USD6.2 billion post-money valuation, setting a record in China's humanoid robotics industry and underscoring strong investor confidence. Vehicle deliveries surged 65% quarter-over-quarter to 103,295 units in Q2 2026, with gross margin remaining above 20%, demonstrating operational resilience despite industry-wide cost pressures. The MONA L03 SUV became a breakout hit, setting order records and driving a 50% quarter-over-quarter increase in new uncancelable orders in Q3, with plans to ramp up production to meet demand. International business is a key growth driver, with overseas deliveries exceeding 20,000 units in Q2 (up 81% year-over-year) and accounting for over 25% of total revenues, supported by an average export selling price above EUR40,000. XPeng Inc (NYSE:XPEV) is advancing its VLA 2.0 autonomous driving technology, which has shown near-parity performance in Europe with minimal local training data, and plans to deploy it overseas by H1 2027, potentially creating a competitive edge. The company is on track to mass-produce its humanoid robot IRON by year-end 2026, with plans to scale to several thousand units per month in 2027, targeting high-margin recurring revenue from AI model upgrades and software services. Net loss widened to RMB1.34 billion in Q2 2026, up from RMB0.48 billion in the same period last year, reflecting increased R&D and SG&A expenses. Vehicle margin declined to 12.1% in Q2 2026 from 14.3% a year ago, primarily due to production generation transition costs. The company faces supply chain disruptions and extreme weather that have hampered the delivery ramp-up for the MONA L03, potentially impacting near-term sales. R&D expenses increased 32.1% year-over-year to RMB2.91 billion, driven by investments in new vehicle models and AI technologies, which could pressure profitability in the near term. The robotics business is still in early stages, with no clear timeline for profitability, and management has not provided specific volume or financial guidance, adding uncertainty for investors. The company's cash position of RMB40.48 billion may be strained by ongoing heavy investments in robotics, autonomous driving, and global expansion, despite the recent financing round. Q: What is the projected production capacity for XPeng's humanoid robot, IRON, upon entering commercial mass production by late 2026, and what is the target delivery volume for fiscal year 2027?A: Xiaopeng He (CEO): We expect mass production to kick in by the end of 2026, with commercialization first starting in our own stores. In 2027, we will pick up R&D development and mass production units will be a multiple of several thousand units per month, further picking up speed. Deliveries will mainly be rolled out in the areas of retail and services, both in China and abroad. Q: What is the estimated unit cost for the mass production version of IRON, and what go-to-market pricing strategy does management intend to deploy? What is the anticipated gross profit margin trajectory?A: Xiaopeng He (CEO): Over 85% of our supply chain partners for robots overlap with our existing automotive business partners, ensuring leading cost competitiveness. Generally, robot pricing in the market is about 2.5 to 3 times the material cost. For IRON, given it is a general-purpose robot with limited supply, our hardware gross margins will definitely be better than the existing automotive business. Additionally, sales of AI models, software services, and subscriptions will bring in further profit. Q: Which parts of the robot foundation model are highly synergistic with automotive driving, and which modules are shared or developed independently?A: Xiaopeng He (CEO): There are different types of large models operating at different speeds. The VLA and VLM models adopted in our automotive business have similarities with robots, such as navigating unplanned roads. Some thinking capabilities of robots can also be applied to our automotive business. However, there are unique aspects for robots, such as safety models for data privacy, prevention of falling, and battery management. These are all being developed under the large XPeng system, with commonalities in AI applications and overall architecture. Q: What distinct advantages does XPeng have in robot data collection and training?A: Xiaopeng He (CEO): Data is a necessary but not sufficient condition for physical AI. XPeng has over 10 years of experience in autonomous driving R&D and data collection, which is industry-leading. For robots, data management, training, and quality are all developed under the same ecosystem. Once IRON is mass-produced, we will continue collecting real-world and human demonstration data, creating a flywheel of high-quality data and R&D that drives product development. Q: Why did XPeng select the salesperson and tour guide scenarios for initial real-world deployment, and are there follow-up plans to expand into industrial and home use cases?A: Xiaopeng He (CEO): Unlike competitors focusing on factories and home usage, we are focusing on large-scale C-end and small/medium B-end businesses. We chose salesperson and tour guide scenarios because they reflect four major capabilities of our robots: the main body/hardware, environment, business services, and emotional value. Later, we will open up SDKs to enable secondary development and expand use cases, opening more channels for both offline and online sales. Q: What is the latest progress on the company's self-developed dexterous hand, and how does it compare with peers in performance and cost?A: Xiaopeng He (CEO): Our dexterous hand has 21 degrees of freedom and is in a leading position versus peers in load-bearing, grasping, and gripping capabilities. We are not focusing solely on accuracy but on striking a balance of safety, reliability, ease of maintenance, and cost. Our dexterous hand also features a skin that is very similar to human skin. We have invested greatly in the manufacturing and processing of dexterous hands and related equipment. Q: How many overseas markets will be equipped with VLA 2.0 technology, and what is the business model, including subscription and one-time payment strategies?A: Xiaopeng He (CEO): Our Turing AI chips have already been deployed in L03 vehicles launched in overseas markets, and VLA will be deployed across all different markets. We are working on compliance with local laws and regulations and localization testing. We are looking at subscription services for software for customers, with updates to be announced in due course. We have also established a BD team actively discussing VLA usage with partners for further expansion. Q: What is the expected timeline for profitability of the humanoid robot business, and are there plans to report profit levels separately for the robot and auto businesses?A: Dr. Brian Gu (Vice Chairman and President): It is too early to provide volume prediction guidance. We anticipate the humanoid robot product will achieve much higher gross profit potential compared to the automotive business, with hardware margins already much higher. There will also be significant opportunities for high-margin AI model training, upgrades, and software revenues. Given the smaller investment and CapEx requirements, profitability can become reality much faster than the auto business. The businesses are currently operating together, with a period of 18 months to gradually achieve separation, but the robotics business will remain 100% consolidated in our financials. For the complete transcript of the earnings call, please refer to the full earnings call transcript.

Xpeng (XPEV) shares are inching lower ahead of the electric vehicle (EV) maker’s fiscal second-quarter earnings scheduled to be released before the market opens on Aug. 24. Consensus is for the Chinese firm to record $2.83 billion in revenue — up 12.3% year-over-year — on a loss of $0.06 per share, which would represent a 45% contraction from last year. The earnings event arrives at a time when Xpeng stock is starved of investor interest, currently down about 45% versus the start of this year. SanDisk’s Long-Term Financial Outlook Is Turning Heads on Wall Street Here Is How to Play Tesla Stock After Its Robotaxi Breakthrough Today’s US Treasury Intervention in Bond Markets is a Buy Recommendation for Gold. Here’s Why. Markets move fast. Keep up by reading our FREE midday Barchart Brief newsletter for exclusive charts, analysis, and headlines. Despite its massive year-to-date performance, the derivatives market believes Xpeng’s upcoming quarterly print will prove a near-term tailwind for its share price. The put-to-call ratio on options contracts expiring Aug. 28 sits at 0.8x as of this writing, signaling a bearish skew. Barchart’s data also shows that options traders are betting on a rally in XPEV shares to $12.89 on the back of Q2 earnings, which translates to a nearly 8% potential upside from current levels. That said, Barchart itself disagrees with the options market optimism, as evidenced in its “100% SELL” opinion on the EV stock based on 13 distinct technical indicators. Investors are advised to exercise caution in playing Xpeng shares at current levels as they’re currently more expensive to own than peers Nio (NIO) and Li Auto (LI). As of this writing, the firm’s price-to-sales (P/S) multiple sits at 1.02x versus less than 1x for both Nio and Li Auto. On the flip side, however, XPEV is seeing massive growth in deliveries; its Q2 deliveries came in up 65% sequentially. In comparison, NIO saw a 29% quarter-over-quarter increase in the second financial quarter, while Li Auto remained capped at just 3.3%. Additionally, Xpeng has historically closed September with a nearly 3% gain on average, a seasonal pattern that further improves the EV stock’s near-term appeal. Note that Wall Street analysts also believe XPEV stock is worth owning for the remainder of 2026. The consensus rating on Xpeng sits at “Moderate Buy,” with the mean price objective of $21.59 indicating potential for a nearly 100% rally in the coming months. On the date of publication, Wajeeh Khan did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Barchart.com