Zheng Quan Shi Bao·2025-10-28 12:37Core Viewpoint - Four companies, including Dipo Technology, Bama Tea Industry, Sany Heavy Industry, and Cambridge Technology, officially listed on the Hong Kong stock market, with Dipo Technology showing exceptional performance on its debut day, closing up 150.56% [1][2]. Group 1: Company Performance - Dipo Technology's stock surged by 150.56% on its first trading day, following a 94.67% increase in the dark market [1][2]. - Bama Tea Industry and Cambridge Technology saw their stock prices rise by 82.70% and 33.86%, respectively, after initial dark market increases of 78.80% and 36.90% [1][3]. - Sany Heavy Industry, despite a slight increase of 2.82% on its debut, did not experience a significant drop in value [1][5]. Group 2: Market Capitalization - Sany Heavy Industry achieved a market capitalization of HKD 216.6 billion, while Cambridge Technology reached HKD 41.2 billion, Dipo Technology HKD 21.8 billion, and Bama Tea Industry below HKD 10 billion at HKD 7.8 billion [1][5]. - The IPO market in Hong Kong has been robust this year, with several companies raising substantial amounts, including Sany Heavy Industry's HKD 13.5 billion, making it one of the top three IPOs of the year [6][7]. Group 3: Subscription and Demand - Dipo Technology recorded an oversubscription rate of 7,569.83 times, making it the "super subscription king" in the history of the Hong Kong main board [9][10]. - Bama Tea Industry had an oversubscription rate of 2,680.04 times, while Cambridge Technology's rate was 338.7 times, indicating strong investor interest [11][13]. - Sany Heavy Industry had a lower oversubscription rate of 52.93 times, reflecting less enthusiasm from retail investors [14]. Group 4: Industry Insights - The market for enterprise-level AI application solutions in China is projected to reach RMB 38.6 billion by 2024, with a CAGR of 44.0% expected until 2029 [15]. - Dipo Technology aims to capitalize on this growing market, focusing on providing AI solutions to help enterprises efficiently integrate data and operations [15].