Fortune Brands Innovations, Inc (FBIN) Fair Value & Analysis
Industrials · US · Market cap $4.7B
Analysis
Fortune Brands Innovations, Inc (FBIN) currently trades at $40.65, while our model-based Fair Value estimate is $26.03 — implying the stock looks roughly 36.0% 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
Fortune Brands Innovations, Inc. provides home, security, and digital products for residential home repair, remodeling, new construction, and security applications in the United States and internationally. It operates through three segments: Water, Outdoors, and Security. The Water segment manufactures, assembles, and sells faucets, accessories, hardware, kitchen sinks, and waste disposals, under the Moen, ROHL, Riobel, Victoria+Albert, Perrin & Rowe, Aqualisa, Shaws, Emtek, Schaub, and SpringWell brands. Its Outdoors segment manufactures and sells fiberglass and steel entry door systems under the Therma-Tru brand; storm, screen, and security doors under the Larson brand; composite decking, railing and cladding under the Fiberon brand; urethane millwork under the Fypon brand; and wide-opening exterior door systems and outdoor enclosures under the Solar Innovations brand. The Security segment offers locks, safety and security devices, connected and mechanical lock out tag out solutio…
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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.