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溯联股份(301397) - 2025年4月25日投资者关系活动记录表

Financial Performance - In 2024, the company achieved operating revenue of 124,182.22 million yuan, a year-on-year increase of 22.89% [2] - Net profit for 2024 was 12,252.67 million yuan, a decrease of 18.72% year-on-year; non-recurring net profit was 10,814.89 million yuan, down 17.62% [2] - Cash flow from operating activities was -9,869.81 million yuan, a decline of 211.95% year-on-year, primarily due to increased accounts receivable and higher operational cash payments [2] Business Growth and Strategy - The company's revenue from the new energy vehicle sector reached approximately 761 million yuan in 2024, representing a growth of about 75% and accounting for approximately 61% of total revenue [2] - The company plans to explore new growth avenues by leveraging government initiatives in artificial intelligence and smart manufacturing [4] - New clients in the aviation sector and partnerships in energy storage and battery management have been established, indicating diversification in business operations [5] Production and Capacity - In 2024, the company increased its production capacity by approximately 40% and production volume by 51% [6] - The company is investing in automation and digital upgrades to enhance production efficiency and reduce costs [6] - Expansion of manufacturing facilities is underway to meet the growing demand, with a new intelligent manufacturing base planned in Chongqing [7] Research and Development - The company will maintain high R&D investment levels in 2025, focusing on liquid cooling products and new material applications [8] - Efforts will be made to enhance testing capabilities and obtain certifications for international automotive brands [8] - The company aims to innovate continuously and adapt to new technologies to expand its market presence [8] Organizational Goals - The company has set a target of maintaining a 20% annual growth rate in net profit over the next three years as part of its equity incentive plan [6] - A flat organizational structure will be implemented to improve resource allocation and operational efficiency [6]