
BEIJING, Sept. 4, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche", "the Company" or "we"), China's leading auto insurance technology platform, today announced its unaudited financial results for the six months ended June 30, 2026.
Cheche Group Inc. (CCG) is an innovative financial services company dedicated to improving consumer access to credit through advanced technology solutions. Emphasizing responsible lending practices, the firm builds strong customer relationships while remaining agile in the rapidly evolving fintech landscape. With its expanding customer base and strategic focus on market trends, Cheche Group presents a compelling investment opportunity for institutional investors seeking diversification in the dynamic financial technology sector.
| Revenue (TTM) | $2.55B |
| Gross Profit (TTM) | $157.80M |
| EBITDA | $-41.85M |
| Operating Margin | -5.71% |
| Return on Equity | -11.20% |
| Return on Assets | -2.41% |
| Revenue/Share (TTM) | $1073.75 |
| Book Value | $22.28 |
| Price-to-Book | 0.74 |
| Price-to-Sales (TTM) | 0.02 |
| EV/Revenue | 0.071 |
| EV/EBITDA | — |
| Quarterly Earnings Growth (YoY) | 0.00% |
| Quarterly Revenue Growth (YoY) | -34.40% |
| Shares Outstanding | $1.97M |
| Float | 904,380 |
| % Insiders | 48.09% |
| % Institutions | 0.55% |
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BEIJING, Sept. 4, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche", "the Company" or "we"), China's leading auto insurance technology platform, today announced its unaudited financial results for the six months ended June 30, 2026.

BEIJING, Sept. 1, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced the launch of the ABAO Agent Family, a suite of five specialized AI agents built on Cheche's proprietary vertical insurance large language model ("LLM").

BEIJING, Aug. 5, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced that it received a written notification from the Listing Qualifications Department of The Nasdaq Stock Market LLC ("Nasdaq") on August 4, 2026, confirming that the Company has regained compliance with the minimum bid price requirement set forth in Nasdaq Listing Rule 5550(a)(2) (the "Minimum Bid Price Requirement") and that the matter is now closed. As previously announced, on January 12, 2026, Nasdaq notified the Company that the closing bid price of the Company's Class A ordinary shares had been below US$1.00 per share for 30 consecutive business days and, therefore, the Company did not comply with the Minimum Bid Price Requirement.

BEIJING, July 17, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, announced that it will effect a 35-for-1 share consolidation of its Class A ordinary shares and Class B ordinary shares (the "Share Consolidation"). The Share Consolidation was approved by the Company's shareholders at the extraordinary general meeting duly convened and held on June 12, 2026, Beijing time (June 11, 2026, U.S. Eastern time).

BEIJING, July 15, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced that on July 14, 2026, it received notification from The Nasdaq Stock Market LLC ("Nasdaq") that Nasdaq approved the Company's request for an additional 180-calendar day extension (the "Extension") to regain compliance with the minimum closing bid price requirement of US$1.00 per share, as set forth in Nasdaq Listing Rule 5550(a)(2) (the "Rule"). The Extension follows the expiration on July 13, 2026 of the initial 180-calendar day period to regain bid price compliance.

BEIJING, June 24, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced the launch of "Cheche Score," a proprietary AI-powered dynamic pricing solution for new energy vehicle ("NEV") insurance. Built on the Company's AI models and multi-dimensional risk management framework, Cheche Score establishes a data-driven, differentiated pricing model purpose-built for the era of intelligent driving and represents a significant step forward in Cheche's strategy to redefine risk management across China's fast-growing NEV insurance market.

BEIJING, June 22, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced the official launch of "ABAO Agent," an AI-powered intelligent underwriting agent. Built on the Company's proprietary, large language model and deeply integrated with core insurance workflows, ABAO Agent delivers end-to-end intelligent automation across underwriting and policy renewal — marking a pivotal step in Cheche's strategic evolution from a digital insurance transaction platform to a AI-driven insurtech company.

BEIJING, May 28, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced that its Founder and Chief Executive Officer, Mr. Lei Zhang, has expressed his intention to purchase the Company's ordinary shares using personal funds.

BEIJING, May 28, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced the official launch of its proprietary, AI large model-driven intelligent connected vehicle pricing product. Targeting China's expanding market of approximately 20 million intelligent connected new energy vehicles (NEVs), the platform utilizes advanced machine learning and multi-dimensional data analytics.

BEIJING, May 28, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced that an extraordinary general meeting of the Company (the "Meeting") will be held at 10 A.M. on June 12, 2026, Beijing time (10 P.M.
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