Anhui Jiangnan Chemical Industry Co (002226) Fair Value & Analysis
Basic Materials · CN · Market cap 13.3B CNY
Analysis
Anhui Jiangnan Chemical Industry Co (002226) currently trades at ¥4.89, while our model-based Fair Value estimate is ¥4.86 — implying the stock looks roughly 0.6% overvalued today. We read business quality at 81/100 (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
Anhui Jiangnan Chemical Industry Co.,Ltd. researches, develops, produces, and sells civil explosives in China and internationally. The company offers gel-like emulsion explosives, powdered emulsion explosives, expanded explosives, seismic source charges, detonating charges, industrial detonating cords, electronic detonators, ignition charges for airbags, and gas-generating charges for airbags. It also provides blasting engineering design, assessment, supervision, testing, drilling, blasting, excavation, and transportation services; and tunnel engineering, water conservancy and hydropower engineering, building demolition engineering, road and bridge infrastructure engineering, mine repair/management engineering, mining and aggregate processing, and other engineering construction services. In addition, the company engages in the development, construction, and operation wind power generation, photovoltaic power generation projects, wind farms and photovoltaic power stations; and focuse…
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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.