Jiangsu Changqing Agrochemical Co (002391) Fair Value & Analysis
Basic Materials · CN · Market cap 3.6B CNY
Analysis
Jiangsu Changqing Agrochemical Co (002391) currently trades at ¥5.19, while our model-based Fair Value estimate is ¥1.06 — implying the stock looks roughly 79.6% 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
Jiangsu Changqing Agrochemical Co., Ltd. engages in the research and development, production, and sale of pesticides in China. The company offers insecticide products, including imidacloprid, acetamiprid, fipronil, diafenthiuron, thiamethoxam, lambda-cyhalothrin, bifenthrin, lufenuron, triazophos, pymetrozine, methoxyfenozide, chlorpyrifos, clothianidin, and indoxacarb. It also provides herbicide products, such as acifluorfen, fomesafen, fluoroglycofen, lactofen, nicosulfuron, clomazone, clethodim, dicamba, s-metolachlor, bormoxynil octanoate, clodinafop-propargyl, cyhalofop-butyl, glufosinate ammonium, glyphosate, imazethapyr, prosulfuron, triasulfuron, mesotrione, benazolin, pretilachlor, haloxyfop-p-methyl, and mesosulfuron. In addition, the company offers fungicide comprising tricyclazole, fenoxanil, epoxiconazole, dimethomorph, difenoconazole, fluazinam, cyproconazole, propiconazole, tebuconazole, and azoxystrobin. It also exports its products to approximate 20 countries and re…
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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.