XPeng Motors recently released its unaudited financial results for the fourth quarter and full year of 2025. The report shows that total revenue for the full year of 2025 reached RMB 76.72 billion, a year-on-year increase of 87.7%; net loss narrowed to RMB 1.14 billion, compared to RMB 5.79 billion in the same period last year; gross profit margin was 18.9%, an increase of 4.6 percentage points year-on-year. Notably, the company achieved its first quarterly profit in the fourth quarter, with total revenue of RMB 22.25 billion, a year-on-year increase of 38.2%, and net profit of RMB 380 million, a year-on-year increase of 128.8%. As of the end of the year, the company's cash reserves reached RMB 47.66 billion.
In terms of deliveries, the company delivered 429,445 vehicles in 2025, a surge of 125.9% year-on-year; fourth-quarter deliveries reached 116,249 vehicles, a year-on-year increase of 27.0%. Thanks to continuous cost control and product portfolio optimization, the gross margin reached a record 21.3% in the fourth quarter, with the service and other businesses achieving a gross margin of 70.8%, primarily driven by growth in revenue from technology R&D services, parts sales, and carbon credit trading.
Looking ahead, XPeng Motors expects vehicle deliveries to be between 61,000 and 66,000 vehicles in the first quarter of 2026, with total revenue between RMB12.2 billion and RMB13.28 billion.
XPeng Motors Chairman and CEO He Xiaopeng stated, “We are standing at a historic inflection point in the application of physical artificial intelligence. The company is not only committed to expanding its global market share in AI-defined vehicles, but will also drive the second-generation VLA model to the international market and achieve large-scale production of advanced humanoid robots.”
Vice Chairman and Co-President Gu Hongdi added that based on a technology-driven business model, XPeng has established a profit path distinct from traditional automakers, and strong cash reserves will firmly support the company's continued R&D investment in the field of physical AI.