Anhui Jinhe Industrial Co (002597) Fair Value & Analysis
Basic Materials · CN · Market cap 12.2B CNY
Analysis
Anhui Jinhe Industrial Co (002597) currently trades at ¥21.39, while our model-based Fair Value estimate is ¥10.38 — implying the stock looks roughly 51.5% overvalued today. We read business quality at 95/100 (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: high).
About the company
Anhui Jinhe Industrial Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of food additives, daily chemical fragrances, bulk chemicals, and specialty chemicals in China and internationally. The company offers food additives comprising sweeteners consisting of acesulfame and sucralose; and spices, including methyl maltol, ethyl maltol, methyl cyclopentenolone, and glucosyl steviol glycosides. It also provides daily chemicals consisting of maltol, musk-jinhe, and nootkatone; functional intermediates, including 2-(chloromethyl)-3,4-dimethoxypyridine hydrochloride, and methyl acetoacetate, as well as pharmaceutical and pesticide intermediates, and animal feed additives; dichlorosulfonimide acid, bi(trifluoroethoxy)tetrafluoroethyl phosphate, bis(chlorosulfonyl)imide acid, erythritol divinyl sulfate, ethoxypentafluorocyclotriphosphazene, and lithium sulfide; PI alignment agents and wet electronic chemicals; bulk chemicals, such as hydroge…
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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.