PAMT CORP, through its subsidiaries, (PAMT) Fair Value & Analysis
Industrials · US · Market cap $284M
Fair value as of: Jun 25, 2026
Analysis
PAMT CORP, through its subsidiaries, (PAMT) currently trades at $15.37, while our model-based Fair Value estimate is $9.45 — implying the stock looks roughly 38.5% 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: low).
About the company
PAMT CORP, through its subsidiaries, operates as a truckload transportation and logistics company in the United States, Mexico, and Canada. The company provides truckload dry van carrier services that transports general commodities, such as automotive parts; expedited goods; consumer goods, such as general retail store merchandise; and manufactured goods, including heating and air conditioning units. The company also offers brokerage and logistics services. As of December 31, 2025, it operated a fleet of 2,094 trucks, which included 493 independent contractor trucks; and 8,020 trailers. PAMT CORP was formerly known as P.A.M. Transportation Services, Inc., and changed its name to PAMT CORP in November 2024. The company was founded in 1980 and is headquartered in Tontitown, Arkansas.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is PAMT CORP, through its subsidiaries, (PAMT) undervalued?
What is the fair value of PAMT?
What is the quality score of PAMT?
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.