Chongqing Sansheng Industrial Co (002742) Fair Value & Analysis
Healthcare · CN · Market cap 2.7B CNY
Fair value as of: Jun 25, 2026
Analysis
Chongqing Sansheng Industrial Co (002742) currently trades at ¥3.60, while our model-based Fair Value estimate is ¥0.7400 — implying the stock looks roughly 79.4% overvalued today. We read business quality at 86/100 (high quality), in the Healthcare 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: low).
About the company
Chongqing Sansheng Industrial Co.,Ltd. develops, produces and sells building materials and chemicals in China and internationally. It operates through two segments, Buildings Materials Chemical Industry; and Pharmaceutical Manufacturing. The company offers commercial concrete, water reducing agents, and expansion agents for industrial and civil buildings, highways, railways, bridges, tunnels, airports, water conservancy, and hydropower; and sulfuric acid is mainly used in the production of fertilizers and in non-fertilizer acid enterprises such as fertilizers, chemicals, light industry, textile, steel, water reducer, and other non-fertilizer acid enterprises; and concrete admixtures. It also provides pharmaceutical intermediates, such as procaine hydrochloride, cefoxitin acid intermediates, chlorine intermediates, chloramphenicol intermediates, aztreonam intermediates, and orlistat intermediates used in antibiotic drugs, anti-hepatitis C drugs, diabetes drugs, benzathine penicillin …
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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.