TriMas Corporation (TRS) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.6B
Analysis
TriMas Corporation (TRS) currently trades at $43.60, while our model-based Fair Value estimate is $70.42 — implying the stock looks roughly 61.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
TriMas Corporation engages in the design, development, manufacture, and sale of products for consumer products, aerospace and defense, and industrial markets worldwide. The company operates through Packaging and Specialty Products segments. The Packaging segment offers dispensing products, such as foaming and sanitizer pumps, lotion and hand soap pumps, beverage dispensers, perfume sprayers, and nasal and trigger sprayers; polymeric and steel caps and closures comprising food lids, flip-top and beverage closures, child resistance caps, drum and pail closures, and flexible spouts; polymeric jar products; integrated dispensers; bag-in-box products; and consumable vascular delivery and diagnostic test components under the Rieke, Taplast, Affaba & Ferrari, Aarts Packaging, Intertech, Omega Plastics, and Rapak brands. The Specialty Products segment designs, manufactures, and distributes steel cylinders for use in transportation, storage, and dispensing of packaged and compressed gases un…
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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.