Jiangsu Zhengdan Chemical Industry Co (300641) Fair Value & Analysis
Basic Materials · CN · Market cap 9.8B CNY
Analysis
Jiangsu Zhengdan Chemical Industry Co (300641) currently trades at ¥17.71, while our model-based Fair Value estimate is ¥18.84 — implying the stock looks roughly 6.4% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Jiangsu Zhengdan Chemical Industry Co., Ltd. engages in the research, development, manufacture, and sale of environment-friendly materials and fine chemicals in China. Its products include vinyltoluene, a mixture of m-methylstyrene and p-methylstyrene, which is used in impregnating insulation paint, coating, and composite industries; and high-flash aromatic naphthas, used as a solvent and diluent of environment-friendly coating and paint, as well as ingredient of printing ink, extractant for production of hydrogen peroxide, solvent for baking coating, emulsion of insecticide, solvent for rubber resin, etc. The company's products also comprise trimellitic anhydride, available in flake and pastille form, primarily used to produce plasticizers, such as trioctyl trimellitate (TOTM), polyester resin for powder coating, polyamide-imide resin for insulating varnish, water-soluble alkyd resin coating, epoxy curing agent, lubricant, etc.; TOTM, a heatproof and durable plasticizer, applied to…
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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.