China Power International Development Limited (CPWIF) Fair Value & Analysis
Utilities · US · Market cap $5.4B
Fair value as of: Jun 24, 2026
Analysis
China Power International Development Limited (CPWIF) currently trades at $0.4400, while our model-based Fair Value estimate is $0.6600 — implying the stock looks roughly 50.0% undervalued today. We read business quality at 80/100 (high quality), in the Utilities 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: medium) — always confirm before acting.
About the company
China Power International Development Limited, an investment holding company, develops, constructs, owns, operates, and manages power plants in the People's Republic of China and internationally. It operates through Thermal Power Electricity, Hydropower Electricity, Wind Power Electricity, Photovoltaic Power Electricity, and Energy Storage segments. The company generates, distributes, and sells electricity through coal-fired, hydro, wind, photovoltaic, natural gas, and environmental power plants. It also offers energy storage, green power transportation, and energy solution services; logistics services; technical services in relation to generation of electricity; and invest on new energy power resources. China Power International Development Limited was incorporated in 2004 and is based in Wan Chai, Hong Kong. China Power International Development Limited operates as a subsidiary of China Power International Holding 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.