Installed Building Products, Inc (IBP) Fair Value & Analysis
Consumer Cyclical · US · Market cap $5.5B
Fair value as of: Jun 24, 2026
Analysis
Installed Building Products, Inc (IBP) currently trades at $210.68, while our model-based Fair Value estimate is $209.51 — implying the stock looks roughly 0.6% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Installed Building Products, Inc., together with its subsidiaries, engages in the installation of insulation for residential and commercial builders in the United States. It operates through three segments: Installation, Distribution, and Manufacturing Operations. It offers a range of insulation materials, such as fiberglass and cellulose, and spray foam insulation materials. It is also involved in the installation of insulation and sealant materials in various areas of a structure, which includes basement and crawl space, building envelope, attic, and acoustical applications. In addition, the company installs a range of caulk and sealant products that control air infiltration in residential and commercial buildings; basic sliding door and complex custom designs; and standard and custom designed mirrors, as well as shower doors, and closet shelving systems. Further, it installs and services garage doors and openers, including steel, aluminum, wood, and vinyl garage doors, as well as…
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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.