Changshu Fengfan Power Equipment Co (601700) Fair Value & Analysis
Industrials · CN · Market cap 5.5B CNY
Analysis
Changshu Fengfan Power Equipment Co (601700) currently trades at ¥4.70, while our model-based Fair Value estimate is ¥1.68 — implying the stock looks roughly 64.3% overvalued today. We read business quality at 87/100 (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: medium).
About the company
Changshu Fengfan Power Equipment Co., Ltd. engages in the research and development, production, and sale of voltage transmission line corner towers, steel pipe composite towers, various pipelines, substation structural supports, steel pipes, and other steel structural parts in China. The company is also involved in the production and sale of cold-formed steel, square and rectangular steel pipes, and steel structural parts; the sale of lubricating oil, diesel oil, fuel oil, asphalt, and chemical products; asset management, investment management, and acquisition of non-performing assets; overseas and domestic bidding projects; import and export of goods and technology. It provides metal materials, metal products, and other mechanical equipment, coal, electronic products, hardware products, etc.; towers, communication and transmission infrastructure; development, sales, and marketing of power equipment and materials; transmission and substations; survey and technical consulting of ener…
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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.