Oshkosh Corporation (OSK) Fair Value & Analysis
Industrials · US · Market cap $8.3B
Analysis
Oshkosh Corporation (OSK) currently trades at $139.52, while our model-based Fair Value estimate is $199.84 — implying the stock looks roughly 43.2% undervalued today. We read business quality at 95/100 (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
Oshkosh Corporation provides purpose-built vehicles and equipment worldwide. The company operates through three segments: Access, Vocational, and Transport segment. The Access segment designs and manufactures aerial work platform and telehandlers for use in construction, industrial, and maintenance applications; and towing and recovery equipment, which includes carriers, wreckers, and rotators, as well as provides financing and leasing solutions, including rental fleet loans, leases, and floor plan and retail financing. This segment also offers equipment installation and sale of chassis and service parts, as well as offers parts and accessories. The Transport segment engages in the manufacture and sale of heavy, medium, and light tactical wheeled vehicles and related services for defense; and hauling combat vehicles, missile systems, ammunition, fuel, and troops and cargos. The Vocational segment offers custom and commercial firefighting equipment, fire apparatus, and emergency vehi…
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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.