企查查，冲击IPO

Core Viewpoint - Qichacha Technology Co., Ltd. has received approval for its IPO application to be listed on the Shanghai Stock Exchange, marking it as the first data service provider to be accepted since the release of the "Data Element × Three-Year Action Plan (2024-2026)" by the National Data Bureau and 17 other departments [2][3]. Group 1: Company Overview - Qichacha is a comprehensive commercial big data service provider, having completed its D+ round of financing in October 2023 with a valuation of nearly 10 billion yuan [3]. - As of June 2025, Qichacha has over 150 million registered users and more than 80 million monthly active users [3]. - The company offers various data products for both C-end (consumer) and B-end (business) users, including membership-based services and professional data tools [5]. Group 2: Financial Performance - Qichacha's total assets as of June 30, 2025, are 2.089 billion yuan, with equity attributable to shareholders amounting to 1.270 billion yuan and a debt-to-asset ratio of 38.74% [7]. - The company's revenue for the years 2022, 2023, 2024, and the first half of 2025 were 518 million yuan, 618 million yuan, 708 million yuan, and 375 million yuan respectively, while net profits for the same periods were 190 million yuan, 259 million yuan, 317 million yuan, and 172 million yuan [6][8]. Group 3: Shareholder Structure - The controlling shareholder and actual controller of Qichacha is Chen Deqiang, who directly holds 35.49% of the shares and indirectly controls an additional 17.5% through partnerships, totaling 53% [10]. - The company has introduced investment from state-owned assets in Suzhou and from CITIC Securities prior to its IPO [11][15]. Group 4: IPO Details - Qichacha plans to issue no more than 40.25 million shares, accounting for 10% of its total share capital post-IPO, with expected fundraising of approximately 1.5 billion yuan [19]. - The proceeds from the IPO will be directed towards enhancing product capabilities and technological advancements, including upgrades to both C-end and B-end data products and the development of artificial intelligence technologies [21].