SINOTECH Company (688737) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.1B CNY
Fair value as of: Jun 25, 2026
Analysis
SINOTECH Company (688737) currently trades at ¥26.30, while our model-based Fair Value estimate is ¥3.21 — implying the stock looks roughly 87.8% overvalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
SINOTECH Company Limited provides internal combustion engine exhaust purification catalyst products in China and internationally. The company offers energy storage and power batteries, such as home storage products, residential energy storages, and commercial and industrial energy storages; catalysts for purifying vehicle exhaust gases; motorcycle and general-purpose catalytic converters; and gasoline vehicle catalytic converters. It also provides gasoline and diesel vehicle exhaust aftertreatment systems; SCR exhaust aftertreatment system for natural gas buses; aftermarket vehicle exhaust system modification services; VOCs exhaust gas solutions; catalysts for ship exhaust gas aftertreatment; hydrogen fuel cell products comprising electrocatalyst and solid oxide fuel cells; a remote online monitoring platform; and Bilan APP for using automotive exhaust to modify catalysts. The company was formerly known as Sinocat Environmental Technology Co.,Ltd. and changed its name to SINOTECH Co…
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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.