蔚小理

Delivery Volume - Xiaopeng Motors achieved the highest delivery volume in Q3 2025, reaching 116,007 units, a year-on-year increase of 149.3% [2] - Li Auto delivered 93,211 units, but this represents a decrease of 39.0% year-on-year [2] - NIO delivered 87,701 units, marking a year-on-year increase of 40.8% [2] Revenue and Gross Margin - Li Auto led in total revenue with 273.65 billion RMB, although this is a decrease of 36.2% compared to the same period in 2024 [3] - Xiaopeng Motors reported the highest gross margin at 20.1%, an increase of 4.8 percentage points from 15.3% in 2024 [3] - Li Auto's gross margin was 16.3%, impacted by the estimated costs related to the Li MEGA recall; excluding this, the Q3 gross margin would be 20.4% [3] - NIO's gross margin reached 13.9%, the highest level in the past three years [3] Expense Spending - R&D expenses were highest for Li Auto at 29.74 billion RMB, a year-on-year increase of 15.0% due to new model projects and technology-related costs [4] - NIO and Xiaopeng had similar R&D expenses of 23.91 billion RMB and 24.29 billion RMB, respectively, with NIO's R&D expenses decreasing quarter-on-quarter due to organizational optimization [4] - NIO's SG&A expenses were the highest at 41.85 billion RMB, a 5.5% increase from the previous quarter, primarily due to increased sales and marketing activities related to new product launches [4] Net Profit - All three companies reported net losses in Q3 2025, with NIO's loss being the largest at 34.80 billion RMB [5] - Li Auto reported a net loss of 6.24 billion RMB [5] - Xiaopeng Motors had a net loss of 3.81 billion RMB [5] Long-term Strategic Outlook - NIO's long-term strategy focuses on accelerating growth and multi-brand synergy, with a strong emphasis on operational efficiency and positive cash flow [6] - Li Auto emphasizes product innovation, technological leadership, and sustainable growth, with confidence in achieving long-term strategic goals [7] - Xiaopeng Motors aims to become a global embodied intelligence company, focusing on the commercialization of AI and building a robust product technology ecosystem [8]