Armstrong World Industries, Inc (AWI) Fair Value & Analysis
Industrials · US · Market cap $6.5B
Fair value as of: Jun 24, 2026
Analysis
Armstrong World Industries, Inc (AWI) currently trades at $154.97, while our model-based Fair Value estimate is $92.68 — implying the stock looks roughly 40.2% 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
Armstrong World Industries, Inc., together with its subsidiaries, engages in the design, manufacture, and sale of ceiling and wall solutions in the Americas. It operates through Mineral Fiber and Architectural Specialties segments. The company offers mineral fiber, fiberglass, metal, wood, felt, architectural resin and glass, wood fiber, and glass-reinforced-gypsum; and ceiling component products, such as ceiling perimeters and trims, as well as grid products that support drywall ceiling systems. It also designs, produces, and sources specialty ceilings, walls, and other interior and exterior architectural applications primarily for use in commercial settings; and manufactures ceiling suspension system (grid) products. It serves commercial and residential construction markets, as well as renovation of existing buildings sectors. The company sells its products to resale distributors, ceiling system contractors, wholesalers, and retailers comprising large home centers. Armstrong World…
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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.