Sany Heavy Industry Co (SNHIY) Fair Value & Analysis
Industrials · US · Market cap $103B
Analysis
Sany Heavy Industry Co (SNHIY) currently trades at $11.25, while our model-based Fair Value estimate is $2.82 — implying the stock looks roughly 74.9% overvalued today. We read business quality at 90/100 (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: high).
About the company
Sany Heavy Industry Co.,Ltd engages in the research and development, manufacture, and sale of construction machinery in Chinese mainland and internationally. It operates through six segments: Concrete Machinery, Excavating Machinery, Hoisting Machinery, Piling Machinery, Road Machinery, and Financial Services. The company offers concrete pump trucks, concrete delivery pumps, and wall grabs; truck mounted concrete, trailer, and line pump, as well as placing boom, truck mixer, and batching plant; and excavator, such as mini, small, medium, large, long-reach, and wheel excavators. It also provides truck, all-terrain, rough-terrain, truck-mounted, crawler, tower, and loader cranes; roller, motor grader, paver, milling machine, and asphalt batching plant machineries; and dump truck. In addition, the company offers rotary drilling rig, hydraulic grab, and trench cutter; water tower, foam, aerial platform, and water mist fire trucks; and construction machinery product loans, finance lease,…
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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.