Zhefu Holding (002266) Fair Value & Analysis
Industrials · CN · Market cap 25.9B CNY
Analysis
Zhefu Holding (002266) currently trades at ¥5.32, while our model-based Fair Value estimate is ¥4.50 — implying the stock looks roughly 15.4% overvalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Zhefu Holding Group Co., Ltd., together with its subsidiaries, manufactures and sells clean energy equipment in China and internationally. The company offers hydroelectric turbine, tidal stream, and pumped storage generator sets, as well as pumps; and nuclear power equipment, including control rod drive mechanism, nuclear class pressure vessel and equipment, liquid metal reactor main pump, small reactor components, electromagnetic pump of a liquid metal cooled reactor, liquid-metal pump. rim-driven propeller, and non-standard equipment. It also engages in the disposal and resource utilization of hazardous waste; recycling of secondary metals, such as electrolytic copper, zinc, and tin, as well as gold and silver ingots, palladium, refined nickel sulfate, and crude lead; and disposal and reuse of decommissioned power batteries. The company was formerly known as Zhejiang Fuchunjiang Hydropower Equipment Co., Ltd. and changed its name to Zhefu Holding Group Co., Ltd. in January 2014. Z…
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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.