Sinoma International Engineering Co (600970) Fair Value & Analysis
Industrials · CN · Market cap 22.0B CNY
Analysis
Sinoma International Engineering Co (600970) currently trades at ¥8.09, while our model-based Fair Value estimate is ¥19.15 — implying the stock looks roughly 136.7% undervalued today. We read business quality at 90/100 (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
Sinoma International Engineering Co.,Ltd operates in the cement technology equipment and engineering services industry in China and internationally. The company offers research, development, technical consulting, engineering design, metal mine research, technical consulting, equipment manufacturing, construction and installation, and general contracting; civil construction engineering, construction projects, integration and manufacturing of industrial automation control systems, contracting of overseas building materials, and production and sales of related products; industry projects and domestic international bidding projects; contracting of survey, consulting, design, and supervision projects; import and export business; real estate leasing; and domestic trade services. It also provides renowned products, including environmental protection equipment, conveying and metering equipment, automated control systems, steel structures, and wear-resistant materials; and rotary presses, gr…
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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.