Cinda Securities Co (601059) Fair Value & Analysis
Financial Services · CN · Market cap 49.6B CNY
Fair value as of: Jun 25, 2026
Analysis
Cinda Securities Co (601059) currently trades at ¥16.11, while our model-based Fair Value estimate is ¥9.93 — implying the stock looks roughly 38.4% overvalued today. We read business quality at 94/100 (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: high).
About the company
Cinda Securities Co., Ltd. engages in the securities brokerage, investment banking, and asset management businesses in China and internationally. The company offers agency trading services for stocks, funds, warrants, and bonds; and personalized investment advisory and consulting services. It also provides equity and bond financing and financial advisory services, such as IPOs, listed company refinancing, corporate and enterprise bonds, financial bonds, asset-backed securities, mergers and acquisitions, and listing recommendations. In addition, the company offers targeted (single) and collective asset management, asset securitization, and asset management investment advisory services. Further, it engages in the private equity investment fund, alternative investment, research, and other businesses. The company was founded in 2007 and is headquartered in Beijing, China. Cinda Securities Co., Ltd. operates as a subsidiary of China Cinda Asset Management Co., Ltd.
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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.