Nantong Jiangshan Agrochemical & Chemicals Co (600389) Fair Value & Analysis
Basic Materials · CN · Market cap 10.1B CNY
Analysis
Nantong Jiangshan Agrochemical & Chemicals Co (600389) currently trades at ¥22.60, while our model-based Fair Value estimate is ¥7.52 — implying the stock looks roughly 66.7% overvalued today. We read business quality at 88/100 (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: medium).
About the company
Nantong Jiangshan Agrochemical & Chemicals Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of pesticide products in China and internationally. The company offers herbicides, including glyphosate, alachlor, acetochlor, butachlor, butachlor+propanil, quizalofop-p-ethyl, and metolachlor; insecticides, such as isopropylamine, chlorothiazide, dichlorvos, trichlorphon, diazinon, nitenpyram, and imidaclothiz; and fungicides comprising prochloraz and prochloraz manganese complex. It also provides chemical intermediates, which include chloral, phosphorous acid and trichloride, trimethyl and dimethyl phosphites, PMIDA, paraformaldehyde, chloromethane, phosphorus trichloride, phosphorus oxychloride, trichloroacetaldehyde, and methyl chloride; and new materials, such as microporous insulating board, nanometer aluminum oxide, flame retardants, water treatment agents, and nanomaterials. In addition, the company offers chlor-alkali; cogeneration…
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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.