The Greenbrier Companies, Inc (GBX) Fair Value & Analysis
Industrials · US · Market cap $1.5B
Fair value as of: Jun 25, 2026
Analysis
The Greenbrier Companies, Inc (GBX) currently trades at $49.88, while our model-based Fair Value estimate is $126.68 — implying the stock looks roughly 154.0% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.
About the company
The Greenbrier Companies, Inc. designs, manufactures, and markets railroad freight car equipment in North America, Europe, and South America. It operates through Manufacturing, and Leasing & Management Services. The Manufacturing segment offers covered hopper cars, gondolas, open top hoppers, boxcars, center partition cars, tank cars, sustainable conversions, intermodal railcars, and railcar equipment; reconditioning of wheels and axles, new axle machining and finishing, and downsizing; operates a railcar maintenance network; and reconditions and manufactures railcar cushioning units, couplers, yokes, side frames, bolsters, and various other parts. The Leasing & Management Services segment offers operating leases and per diem leases for a fleet of approximately 17,000 railcars; and management services comprising railcar maintenance management, railcar accounting services, fleet management and logistics, administration, and railcar re-marketing. This segment provides management servi…
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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.