China Cinda Asset Management Co (CCGDF) Fair Value & Analysis
Financial Services · US · Market cap $5.1B
Analysis
China Cinda Asset Management Co (CCGDF) currently trades at $0.1337, while our model-based Fair Value estimate is $0.2300 — implying the stock looks roughly 72.0% undervalued today. We read business quality at 93/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
China Cinda Asset Management Co., Ltd., together with its subsidiaries, acquires, manages, invests in, and disposes financial and non-financial institution distressed assets in the People's Republic of China, Hong Kong, and internationally. The company operates in two segments, Distressed Asset Management Business and Financial Services Business. It is also involved in receivership; foreign investment; securities and futures dealing; financial bond issuance; inter-bank borrowing and lending; commercial financing for other financial institutions; approved asset securitization business; financial institutions custody; and closing and liquidation of business. The company also engages in consulting and advisory business on finance, investment, and legal and risk management; asset and project evaluation; banking business; fund management; asset management; trust; financial leasing; and real estate and industrial investments and other businesses. In addition, it is involved in cross-borde…
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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.