Shanghai Welltech Automation Co (002058) Fair Value & Analysis
Industrials · CN · Market cap 3.2B CNY
Analysis
Shanghai Welltech Automation Co (002058) currently trades at ¥21.33, while our model-based Fair Value estimate is ¥9.72 — implying the stock looks roughly 54.4% overvalued today. We read business quality at 80/100 (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 Welltech Automation Co.,Ltd. engages in the production and sale of industrial automation instruments and meters in China. It operates through two segments: Automation Instruments Division and Automotive Gauges Division. Its Automation Instruments Division engages in the research and development, production, and sales of automation instruments, such as electromagnetic flow meters, electromagnetic water meters, and pressure transmitters. Its Automotive Gauges Division engages in production of automotive gauges. The company also offers home flowmeters, including vortex flowmeters, and electromagnetic heat meters; temperature instruments; valves; and electric actuators. It also provides system integration products; and thermal mass flowmeters, metal rotor flow meters, turbine flow meters, ultrasonic flow meters, throttling devices, ultrasonic liquids, and magnetic products. It serves domestic and international automakers. The company was founded in 1992 and is based in Shanghai…
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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.