GEPIC Energy Development Co (000791) Fair Value & Analysis
Utilities · CN · Market cap 30.1B CNY
Analysis
GEPIC Energy Development Co (000791) currently trades at ¥8.43, while our model-based Fair Value estimate is ¥11.38 — implying the stock looks roughly 35.0% undervalued today. We read business quality at 81/100 (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
GEPIC Energy Development Co., Ltd. engages in thermal power, hydropower, wind power, and photovoltaic power generation business in China. It is also involved in the construction and development of hydropower plants and wind turbines; development of energy-saving equipment and materials; technical consulting; investment, development, and production of power projects; water conservancy and power resource development; installation and maintenance services related to hydropower; training; and power station operation management services. In addition, the company sells spare parts and pumps; invests in the industrial and energy sectors; provides hydropower station automation technology consulting and technology transfer services, and electromechanical equipment; and wholesales and retails building materials and coal. Further, it engages in wind resource development; development and sale of new energy and renewable energy technologies and products; integration and operation of photovoltaic…
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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.