Fujian Funeng Co (600483) Fair Value & Analysis
Utilities · CN · Market cap 32.3B CNY
Analysis
Fujian Funeng Co (600483) currently trades at ¥11.43, while our model-based Fair Value estimate is ¥16.00 — implying the stock looks roughly 40.0% 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
Fujian Funeng Co., Ltd., together with its subsidiaries, produces and sells electricity and heat in China. It operates through Power and Textile segments. The company generates electricity through wind, natural gas, cogeneration, coal-fired pure condensing, and photovoltaic power generation. It has a total installed capacity of 3.35 billion kilowatts. The company also produces and sells industrial textiles, such as woven fabrics, and needle-punched and spunlace non-woven fabrics. In addition, the company is involved in the investment, development, construction, operation, maintenance, and management of new energy industry; manufacture of PU leather; utilization of ash; hydropower and thermal power generation; power transmission and distribution; knitwear and clothing products; installation, testing, and repair of power facilities; and development and construction of power projects. The company is based in Fuzhou, China. Fujian Funeng Co., Ltd. is a subsidiary of Fujian Energy Group …
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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.