Henan Huanghe Whirlwind Co (600172) Fair Value & Analysis
Basic Materials · CN · Market cap 17.1B CNY
Analysis
Henan Huanghe Whirlwind Co (600172) currently trades at ¥15.41, while our model-based Fair Value estimate is ¥1.75 — implying the stock looks roughly 88.6% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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: low).
About the company
Henan Huanghe Whirlwind Co., Ltd. engages in the manufacture and sale of carbon-based new materials in China and internationally. The company offers super hard materials, such as synthetic diamonds; mechanical and electrical manufacturing, including electric motors, synthetic diamond accessories, electric control systems, construction machinery, tower cranes, communication towers, diamond grinding blocks, diamond drill bits, drill pipes, and abrasive tools; superhard composite materials comprising diamond composite sheet series, pick series, PcBN composite sheet and cBN polycrystalline series, and super hard grinding wheel series; superhard cutting tools, such as diamond and other superhard material cutting tools; precision tool materials comprising polycrystalline diamond composite sheet; superhard grinding wheel material manufacturing, including diamond micropowder, wire saw micropowder, diamond crushing material, cubic boron nitride single crystals and micropowder, and superhard …
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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.