China Renaissance Holdings (CSCHF) Fair Value & Analysis
Financial Services · US · Market cap $343M
Fair value as of: Jun 26, 2026
Analysis
China Renaissance Holdings (CSCHF) currently trades at $0.5982, while our model-based Fair Value estimate is $0.4300 — implying the stock looks roughly 28.1% overvalued today. We read business quality at 80/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
China Renaissance Holdings Limited engages in the provision of investment banking and investment management services in Mainland China, Hong Kong, and the United States. It operates through Investment Banking, Investment Management, CR Securities, and Others segments. The company offers financial advisory, and merger and acquisition advisory services; as well as equity underwriting, sales, trading, brokerage, and research services. It also provides fund and asset management services for individual and institutional clients, as well as manages its investment in funds. In addition, the company offers investment banking and asset management services. Further, the company provides wealth management services for high-net-worth individuals and other high net worth groups, as well as invests in and manages funds. China Renaissance Holdings Limited was founded in 2005 and is based in Beijing, China. China Renaissance Holdings Limited is a subsidiary of CR Partners Limited.
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.