Sichuan Guoguang Agrochemical Co (002749) Fair Value & Analysis
Basic Materials · CN · Market cap 4.7B CNY
Analysis
Sichuan Guoguang Agrochemical Co (002749) currently trades at ¥8.39, while our model-based Fair Value estimate is ¥9.54 — implying the stock looks roughly 13.7% undervalued today. We read business quality at 83/100 (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: medium) — always confirm before acting.
About the company
Sichuan Guoguang Agrochemical Co., Ltd. engages in the research and development, manufacture, marketing, and distribution of agrochemical products and materials in China and internationally. The company offers plant growth regulators, water-soluble fertilizers, fungicides, insecticides, bio-pesticide, and herbicides. It also provides mepiquat chloride, forchlor fenuron, prohexadione-calcium, a-naphthylacetic acid, paclobutrazol, ethephon, chlormequat chloride, uniconazole, diethyl aminoethyl hexanoate, sodium benzylamino-purine, triacontanol, sodium salt, abscisic acid, indolebutyric acid, and thidiazuron, trinexapac-ethyl. In addition, it offers mepiquat chloride, paclobutrazol and mepiquat chloride, forchlorfenuron gibberellic acid and forchlorfenuron, prohexadione-calcium, naphthyl acetic acid, indol ylbutyric acid, naphthyl acetic acid, choline chloride naphthyl acetic acid, paclobutrazol, and chlormequat. Further, the company provides chlormequat, uniconazole, prohexadione calc…
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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.