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Anhui Guangxin Agrochemical Co (603599) Fair Value & Analysis

Basic Materials · CN · Market cap 10.0B CNY

Price¥10.90
Fair Value¥9.16
Upside-16.0%
Quality95/100
Evidence: High Range ¥5.73 – ¥10.67

Analysis

Anhui Guangxin Agrochemical Co (603599) currently trades at ¥10.90, while our model-based Fair Value estimate is ¥9.16 — implying the stock looks roughly 16.0% 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

Anhui Guangxin Agrochemical Co., Ltd. researches, develops, produces, and sells pesticides technical, preparations, and intermediates in China. It offers fungicides, such as thiophanate-methyl, pyraclostrobin, imazalil, carbendazim, benomyl, and azoxystrobin; herbicides comprising glyphospphate, isoproturon, hexazinone, and diuron; and insecticides, including thiamethoxam, imidacloprid, and chlorpyrifos. The company also provides phosgene intermediates, including o-hydoxybenzonitrile, p-nitrochlorobrnzene, o-nitrochlorobenzene, o-nitroaniline, 2-cyanophenol, phosphorus trichloride, methyl carbamate, o-phenylenediamine, 3,4-dichlorophenyl isocyanate, and ethyl chloroformate; and medicine and new materials consisting of p-nitrophenol sodium salt, p-nitrophenol, and para-aminophenol. It exports its products to Europe, America, Southeast Asia, and internationally. The company was founded in 2000 and is headquartered in Xuancheng, China.

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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.