Huachuang Securities·2026-03-19 10:30Investment Rating - The report maintains a "Recommendation" rating for Li Auto-W (02015.HK) [1] Core Insights - Li Auto reported a net profit of 0.2 billion yuan in Q4 2025, marking a year-on-year decrease of 35 billion yuan but a quarter-on-quarter increase of 6.4 billion yuan. The total revenue for Q4 2025 was 28.8 billion yuan, down 35% year-on-year but up 5.2% quarter-on-quarter [1][7] - The company is expected to experience a turnaround in sales driven by new model launches and improved management efficiency. The i6 model is entering stable delivery phases, with monthly delivery capacity expected to reach 20,000 units [1][7] - Organizational restructuring is aimed at enhancing R&D and sales efficiency, with a focus on improving collaboration and operational quality [1][7] Financial Performance Summary - For the full year 2025, Li Auto achieved total revenue of 112.3 billion yuan, a year-on-year decline of 22%, and a net profit of 1.1 billion yuan, down 69 billion yuan year-on-year [1][3] - Key financial metrics for 2026E include total revenue projected at 131.3 billion yuan, with a year-on-year growth rate of 16.9%, and a net profit of 0.96 billion yuan, reflecting a decline of 14.3% [3][8] - The company’s gross margin for Q4 2025 was 17.8%, with a quarter-on-quarter increase of 1.5 percentage points [1][7] Sales and Production Outlook - The sales volume for Q4 2025 was 109,000 units, down 31% year-on-year but up 17% quarter-on-quarter. The average selling price (ASP) for vehicles was 250,000 yuan, showing a slight decline [1][7] - The company plans to launch the next-generation L9 and L9 Livis models in Q2 2026, with the L9 Livis priced at 559,800 yuan, featuring significant technological upgrades [1][7] Management and Strategy - Li Auto is implementing a "store partner plan" to enhance operational quality and efficiency in its direct sales system, which is expected to improve profitability [1][7] - The company’s management capabilities and forward-looking strategies are viewed as robust, positioning it well for recovery and growth in the AI era [1][7]