Shantui Construction Machinery Co (000680) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 249B KRW
Analysis
Shantui Construction Machinery Co (000680) currently trades at 2,765 KRW, while our model-based Fair Value estimate is 3,899 KRW — implying the stock looks roughly 41.0% undervalued today. We read business quality at 90/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.
About the company
Shantui Construction Machinery Co., Ltd. manufactures and sells construction machinery products in China and internationally. The company offers new energy equipment, bulldozer, loader, excavator, push-loading machine, mining card, grader, roller, milling machine, paver, cold recycling machine, concrete mixing equipment, road mixing equipment, dry-mixed mortar equipment, concrete conveying equipment, cement crusher, and mobile crushing and screening equipment. It also provides bulldozer chassis components, bulldozer wear parts and oil, excavator chassis parts, excavator wear parts, excavator maintenance parts, loader maintenance parts, and loader transmission components. The company offers its products for mining, road construction and maintenance, agriculture, forestry and water conservancy, port terminal, quarrying and concrete, urban construction, airport, bridge, and sanitation applications. Shantui Construction Machinery Co., Ltd. was founded in 1952 and is headquartered in Jin…
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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.