Sumitomo Heavy Industries, Ltd (SOHVY) Fair Value & Analysis
Industrials · US · Market cap $3.8B
Analysis
Sumitomo Heavy Industries, Ltd (SOHVY) currently trades at $8.27, while our model-based Fair Value estimate is $6.95 — implying the stock looks roughly 16.0% overvalued today. We read business quality at 95/100 (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
Sumitomo Heavy Industries, Ltd. manufactures and sells general machinery worldwide. It operates through four segments: Mechatronics, Industrial Machinery, Logistics & Construction, and Energy & Lifelines. The Mechatronics segment offers gearmotors, gearboxes, motion control drives, motors and inverters, drive solutions, precision positioning equipment, control systems, motion components, cryocoolers, and cryopumps. Its Industrial Machinery segment provides Plastics machinery, film forming machines, precision forgings, semiconductor manufacturing equipment, accelerators, medical machines and equipment, forging press machines, air-conditioning equipment, and defense equipment. The Logistics & Construction segment offers Hydraulic excavators, mobile cranes, road machinery, material handling systems, logistics systems, and automated parking systems. Its Energy & Lifelines segment provides power generation equipment, air pollution control equipment, water and sewage treatment systems, tu…
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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.