China Pacific Insurance (Group) Co (CHPXF) Fair Value & Analysis
Financial Services · US · Market cap $64.2B
Analysis
China Pacific Insurance (Group) Co (CHPXF) currently trades at $3.65, while our model-based Fair Value estimate is $5.83 — implying the stock looks roughly 59.7% undervalued today. We read business quality at 94/100 (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 Pacific Insurance (Group) Co., Ltd., together with its subsidiaries, provides insurance products to in the People's Republic of China. It operates through Life and Health Insurance, Property and Casualty Insurance, Asset Management, and Other Business segments. The company offers life, health, automobile, liability, agricultural, property and casualty, commercial property, and accident insurance products; pension and annuity insurance products; investments with insurance funds, etc.; and reinsurance products. It also provides real estate and property management, consulting, medical and health consulting, insurance agency, fund management, seniors and disabled care, elderly, nursing, real estate development and operation, technical and seniors care consulting, technical, cloud computing, bid data, business, hospital management, and medical services; and senior living property investment, construction, and management services. In addition, the company offers investment managemen…
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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.