Park-Ohio Holdings (PKOH) Fair Value & Analysis
Industrials · US · Market cap $518M
Analysis
Park-Ohio Holdings (PKOH) currently trades at $36.43, while our model-based Fair Value estimate is $19.83 — implying the stock looks roughly 45.6% 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
Park-Ohio Holdings Corp. provides supply chain management outsourcing services, capital equipment, and manufactured components in the United States, Europe, Asia, Mexico, Canada, and internationally. The company operates through three segments: Supply Technologies, Assembly Components, and Engineered Products. The Supply Technologies segment offers Total Supply Management, a solution that manages aspects of supplying production parts and materials, such as engineering and design support, part usage and cost analysis, supplier selection, quality assurance, bar coding, product packaging and tracking, just-in-time and point-of-use delivery, electronic billing services, and ongoing technical support. This segment also provides production components, including valves, fuel hose assemblies, electro-mechanical hardware, labels, fittings, and steering components; and precision cold-formed and cold-extruded fasteners, and locknuts, as well as nuts, bolts, and wheel hardware under the SPAC br…
Open the full interactive analysis →
Similar stocks
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.