Trinity Industries, Inc (TRN) Fair Value & Analysis
Industrials · US · Market cap $2.6B
Analysis
Trinity Industries, Inc (TRN) currently trades at $35.07, while our model-based Fair Value estimate is $51.32 — implying the stock looks roughly 46.3% undervalued today. We read business quality at 94/100 (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
Trinity Industries, Inc. provides railcar products and services under the TrinityRail trade name in North America. The company operates in two segments, Railcar Leasing and Services Group, and Rail Products Group. The Railcar Leasing and Services Group segment leases freight and tank railcars; originates and manages railcar leases for third-party investors; and provides fleet leasing, management, and administrative services, as well as railcar maintenance and modification services, and other railcar logistics products and services. As of December 31, 2025, it had a fleet of 101,485 railcars. This segment serves industrial shipper and railroad companies operating in refined products and chemicals, energy, agriculture, construction and metals, and consumer products. The Rail Products Group segment manufactures freight and tank railcars for transporting various liquids, gases, and dry cargo; and manufactures and sells railcars and related parts and components. This segment serves railr…
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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.