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博杰股份(002975) - 2025年8月12日投资者关系活动记录表
BojayBojay(SZ:002975)2025-08-13 07:26

Business Performance - The company's consumer electronics equipment and systems business accounted for approximately 60% last year, which has slightly decreased this year. The AI server business now represents about 20%, showing an increase, while the automotive electronics business has improved from 5%-10% to a higher percentage this year [2][4]. - Overall order volume in the first half of this year has significantly increased compared to the same period last year, particularly in AI computing orders, which are expected to grow substantially in the future [2][4]. Order and Revenue Insights - The high growth in product orders is attributed to increased testing demands from major clients and new feature testing requirements due to product iterations. The typical time lag between order and revenue realization is 3-6 months [2][4]. - The company collaborates with major clients such as Microsoft, Google, Amazon, META, Cisco, Tesla, and Qualcomm, with orders being placed either directly by end clients or through their OEMs like Foxconn and Luxshare Precision [3][4]. Product and Pricing Information - The company offers customized products with a price range varying from hundreds of thousands to millions, depending on the specific testing functions and client requirements [4][5]. - The company has developed self-researched liquid cooling solutions for AI server testing equipment, aiming to transition from equipment supply to component supply based on client needs [6][7]. Market Position and Competition - The company did not disclose specific market share or competitor information, indicating a focus on certain niche testing projects within the broader market [5][6]. Client Collaboration and Revenue - The company serves as a supplier for N clients, focusing on testing for self-developed server products, with testing times ranging from 4 to 24 hours due to strict quality requirements [4][5]. - Collaboration with T clients involves testing solutions for humanoid robots and automotive applications, with cooperation amounts reaching several tens of millions [8][9].