Concord New Energy Group (CWPWF) Fair Value & Analysis
Utilities · US · Market cap $328M
Fair value as of: Jun 26, 2026
Analysis
Concord New Energy Group (CWPWF) currently trades at $0.0300, while our model-based Fair Value estimate is $0.0360 — implying the stock looks roughly 20.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Concord New Energy Group Limited, an investment holding company, engages in the power generation business in the People's Republic of China, North America, Europe, Oceania, Southeast Asia, and internationally. The company operates through Power Generation and Other segments. The Power generation segment is involved in the operation of wind and solar power plants, investing in power plants, and generating electric power for sale to external power grid companies. The Others segment provides design, technical and consultancy services, undertaking electrical engineering and construction of power plant projects, and stock finance lease services. It also engages in the operation and investment of wind power plants and photovoltaic power plants, as well as sale of solar power equipment and new energy equipment. The company was formerly known as China Windpower Group Limited and changed its name to Concord New Energy Group Limited in March 2015. Concord New Energy Group Limited was incorpor…
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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.