“数据茅台”企查查要上市：毛利率超90%碾压同行，如何让新客花钱成难题

Core Viewpoint - Qichacha Technology Co., Ltd. has submitted its IPO application to the Shanghai Stock Exchange, aiming to raise 1.5 billion yuan, showcasing its growth as a leading commercial big data service provider with significant revenue and high profit margins [2][4]. Financial Performance - Qichacha's revenue for the years 2022 to the first half of 2025 is reported as 518 million yuan, 618 million yuan, 708 million yuan, and 375 million yuan respectively, with a compound annual growth rate of 16.89% [4]. - The net profit for the same periods is 190 million yuan, 259 million yuan, 317 million yuan, and 172 million yuan [4]. - The gross profit margins have consistently increased, reaching over 90% in the first half of 2025, comparable to leading companies in the liquor industry [5][6]. User Metrics - As of June 2023, Qichacha has over 150 million registered users and more than 80 million monthly active users [4]. - The number of paid users has increased, but the growth rate of new paid users has shown a decline, indicating potential challenges in user conversion [16][18]. Revenue Sources - Membership products contribute over 80% of Qichacha's revenue, with significant increases in average spending per paid user from 480 yuan in 2022 to 570 yuan by mid-2025 [11][14]. - The pricing for membership products has increased, with the annual VIP membership rising from 360 yuan to 388 yuan [11][12]. Competitive Landscape - Qichacha faces competition from other data service providers like Tianyancha, Qixinbao, and Aiqicha, which offer similar services and pricing structures [14][13]. - Despite strong financial metrics, Qichacha acknowledges the competitive pressures in pricing, service quality, and user experience [19]. Compliance and Legal Issues - The company has faced regulatory challenges, including a fine from the People's Bank of China for violating credit business management regulations [19]. - Qichacha has been involved in multiple legal disputes, primarily related to reputation rights, highlighting the need for improved data accuracy and user trust [19].