ArcBest Corporation (ARCB) Fair Value & Analysis
Industrials · US · Market cap $3.3B
Analysis
ArcBest Corporation (ARCB) currently trades at $143.74, while our model-based Fair Value estimate is $56.69 — implying the stock looks roughly 60.6% 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
ArcBest Corporation, an integrated logistics company, provides ground, air, and ocean transportation solutions worldwide. It operates in two segments, Asset-Based and Asset-Light. The Asset-Based segment provides less-than-truckload (LTL) services that transports general commodities, such as food, textiles, apparel, furniture, appliances, chemicals, non-bulk petroleum products, rubber, plastics, metal and metal products, wood, glass, automotive parts, machinery, and miscellaneous manufactured products. This segment also offers motor carrier freight transportation services to customers in Mexico through arrangements with trucking companies. The Asset-Light segment provides ground expedite services; third-party transportation brokerage services by sourcing various capacity solutions, including dry van over-the-road, temperature-controlled and refrigerated, flatbed, intermodal or container shipping, and specialized equipment; less-than-container and full container load ocean transporta…
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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.