Zhejiang XinNong Chemical Co (002942) Fair Value & Analysis
Basic Materials · CN · Market cap 2.5B CNY
Fair value as of: Jun 25, 2026
Analysis
Zhejiang XinNong Chemical Co (002942) currently trades at ¥15.59, while our model-based Fair Value estimate is ¥10.80 — implying the stock looks roughly 30.7% 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
Zhejiang XinNong Chemical Co.,Ltd. researches, develops, produces, and sells chemical pesticide technical, preparations and fine chemical intermediates in China. It operates through two segments: Technical Drugs and Intermediates, and Preparations. The Technical Drugs and Intermediates segment produces triazophos technical, chlorpyrifos technical, zinc thiazole technical, pyraclostrobin technical, as well as intermediates such as ethyl chloride, N-(1-ethylpropyl)-3,4-dimethylaniline, phenylhydrazine and its salts, and 1,3-cyclohexanedione, which are primarily used in the synthesis of pesticides and pharmaceuticals. The Preparations segment offers zinc thiazole series preparations for bacterial diseases, pyraclostrobin series preparations for fungal diseases, chlorpyrifos series preparations for pest control, and triazophos series preparations for lepidopteran pests and mites. It also provides microbial agents and fertilizers. The company also exports its products to Southeast Asia, …
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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.