Huaming Power Equipment Co (002270) Fair Value & Analysis
Industrials · CN · Market cap 18.4B CNY
Analysis
Huaming Power Equipment Co (002270) currently trades at ¥21.64, while our model-based Fair Value estimate is ¥15.78 — implying the stock looks roughly 27.1% 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
Huaming Power Equipment Co.,Ltd, together with its subsidiaries, engages in the research, development, production, and sale of on-load tap changers in China and internationally. It offers embedded vacuum, embedded oil-cooled arc-extinguishing, gas-insulated, external, and dry-type on-load tap changers, as well as on-load tap changer oil filter, non-excitation tap changer, electric mechanism, and controller. The company also provides steel structure, iron tower, sheet metal, and automotive industry processing equipment, as well as environmental protection boiler flue gas deep purification equipment. In addition, it engages in electrical equipment production; power engineering construction; power equipment maintenance; power distribution and sales project development and operation management; photovoltaic power generation; technical service; business management; and power project investment. The company was founded in 1989 is headquartered in Shanghai, China.
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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.