Cscec Scimee Sci.&Tech. Co (300425) Fair Value & Analysis
Industrials · CN · Market cap 2.8B CNY
Fair value as of: Jun 24, 2026
Analysis
Cscec Scimee Sci.&Tech. Co (300425) currently trades at ¥4.03, while our model-based Fair Value estimate is ¥1.06 — implying the stock looks roughly 73.7% overvalued today. We read business quality at 89/100 (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
Cscec Scimee Sci.&Tech. Co.,Ltd manufactures and sells environmental protection equipment and services in China. The company operates through Water treatment business, Centrifuge Business, and Municipal Wastewater Business segments. It offers magnetic medium coagulation and sedimentation integrated equipment; rainwater interception and storage system; micro-oxygen rapid clarification reaction precipitation integrated equipment; low-carbon and high-efficiency denitrification integrated reactor; and sludge low temperature drying equipment. The company also provides internal inlet non-metallic perforated grille; PLD series of high-efficiency, energy-saving and intelligent centrifugal filtration equipment; high-efficiency sand and slag removal equipment; and high-efficiency swirl velocity separation technology systems. The company was formerly known as Scimee Sci.&Tech. Co.,Ltd and changed its name to Cscec Scimee Sci.&Tech. Co.,Ltd in October 2019. It operates in municipal sewage treat…
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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.