Chongqing Chuanyi Automation Co (603100) Fair Value & Analysis
Industrials · CN · Market cap 9.4B CNY
Analysis
Chongqing Chuanyi Automation Co (603100) currently trades at ¥17.90, while our model-based Fair Value estimate is ¥24.09 — implying the stock looks roughly 34.6% undervalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Chongqing Chuanyi Automation Co., Ltd. manufactures and sells industrial automation instruments and devices, electronic information materials and devices in China and internationally. The company offers industrial automation instruments, such as temperature instruments, pressure/differential transmitters, flow meters, level meters, electric actuators, control and special valves, analytical instruments, automatic control systems, gas analyzers and systems, liquid analyzers and systems, and laboratory analyzers. It also provides rail transport and environmental protection, including rail transportation and systems, including PSD/APG system and train electrical traction system; distributed sewage treatment devices; and desulfurization and denitration products. In addition, the company offers materials and components comprising metallic functional materials and sapphire and ruby materials; industrial automation EPC, industrial automation operation and maintenance, valve maintenance and …
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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.