Shanghai Shengjian Technology Co (603324) Fair Value & Analysis
Industrials · CN · Market cap 5.1B CNY
Analysis
Shanghai Shengjian Technology Co (603324) currently trades at ¥41.80, while our model-based Fair Value estimate is ¥4.29 — implying the stock looks roughly 89.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Shanghai Shengjian Technology Co., Ltd. provides green technology services for manufacturing industry in the People's Republic of China. The company offers semiconductor supporting equipment and core components, including local scrubbers, vacuum pumps, local VOCs, and chillers; electronic chemical materials comprising photoresist strippers, etchant, and cleaner products; process exhaust treatment system solution, such as general exhaust, acid/alkali exhaust, cartridge dust collector, wet electrostatic precipitator, NOx exhaust treatment, regenerative thermal oxidation, thermal oxidizer, zeolite rotor concentrator, VOCs condensation, process exhaust duct, chemical/slurry dispensing, and solvent recovery systems, as well as semiconductor process waste gas system solutions, chemical supply and recycling system solutions, etc.; and central waste gas treatment equipment. In addition, the company is involved in science and technology promotion and application service industry; general equ…
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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.