Sichuan Yahua Industrial Group (002497) Fair Value & Analysis
Basic Materials · CN · Market cap 26.9B CNY
Analysis
Sichuan Yahua Industrial Group (002497) currently trades at ¥22.72, while our model-based Fair Value estimate is ¥10.84 — implying the stock looks roughly 52.3% overvalued today. We read business quality at 92/100 (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
Sichuan Yahua Industrial Group Co., Ltd., together with its subsidiaries, engages in lithium and civil explosive businesses in China and internationally. The company offers industrial explosives, industrial detonators, and industrial detonating cords for various fields, including water conservancy and hydropower, transportation construction, urban renovation, geological exploration, and explosive processing. It is also involved in the provision of processing, blasting design, consulting, and supervision services, as well as integrated on-site mixed explosive blasting, integrated mining, and urban demolition services; transportation services for civil explosives, hazardous chemicals, hazardous waste, radioactive materials, and general cargo; and logistics, warehousing, and automobile repair services. In addition, the company engages in lithium mining and processing; research and development, production, sales, and trading of lithium salt products, such as battery-grade lithium hydrox…
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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.