Tredegar Corporation (TG) Fair Value & Analysis
Industrials · US · Market cap $280M
Fair value as of: Jun 24, 2026
Analysis
Tredegar Corporation (TG) currently trades at $8.02, while our model-based Fair Value estimate is $7.13 — implying the stock looks roughly 11.1% 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: high).
About the company
Tredegar Corporation, through its subsidiaries, manufactures and sells aluminum extrusions, and polyethylene and polypropylene plastic films in the United States and internationally. It operates through Aluminum Extrusions and High performance films segments. The Aluminum Extrusions segment produces soft and medium strength alloyed, custom fabricated, and finished aluminum extrusions for the building and construction, automotive and transportation, consumer durable goods, machinery and equipment, electrical and renewable energy, and distribution markets; and manufactures mill, machined, anodized and painted and thermally improved aluminum extrusions to fabricators and distributors. This segment also manufactures and sells products, such as flooring trims under the Futura Transitions brand name; and structural aluminum framing systems under the TSLOTS brand name. The High performance films segment produces surface protection films used for protecting components of flat panel and flex…
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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.