GATX Corporation (GATX) Fair Value & Analysis
Industrials · US · Market cap $6.0B
Fair value as of: Jun 24, 2026
Analysis
GATX Corporation (GATX) currently trades at $177.97, while our model-based Fair Value estimate is $140.90 — implying the stock looks roughly 20.8% overvalued today. We read business quality at 88/100 (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: medium).
About the company
GATX Corporation, together its subsidiaries, operates as railcar leasing company in the United States, Canada, Mexico, Europe, and India. It operates through three segments: Rail North America, Rail International, and Engine Leasing. The company leases tank and freight railcars, and locomotives for petroleum, chemical, food/agriculture, and transportation industries. It also offers maintenance services, including the interior cleaning of railcars, routine maintenance and repair of car body and safety appliances, regulatory compliance works, wheelset replacements, interior blast and lining, exterior blast and painting, and car stenciling services. In addition, the company manufactures commercial aircraft jet engines and leases aircraft spare engines; and owns and manages tank containers that are leased to chemical, industrial gas, energy, food, cryogenic and pharmaceutical industries, transport and logistic, and tank container operators, as well as provides tank container leasing, re…
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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.