Patrick Industries, Inc (PATK) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.8B
Fair value as of: Jun 24, 2026
Analysis
Patrick Industries, Inc (PATK) currently trades at $87.17, while our model-based Fair Value estimate is $86.22 — implying the stock looks roughly 1.1% 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
Patrick Industries, Inc. manufactures and distributes component and materials for recreational vehicle, marine, powersports, manufactured housing, and industrial markets in the United States, Mexico, China, and Canada. The company operates through Manufacturing and Distribution segments. Its Manufacturing segment manufactures and sells laminated for furniture, shelving, wall, countertop, and cabinet products; cabinet doors, fiberglass bath fixtures, and tile systems; vinyl printing, amplifiers, tower speakers, soundbars, and subwoofers; solid surface, granite, and quartz countertop fabrication; aluminum products; fiberglass and plastic components; decorative vinyl and paper laminated panels; softwoods lumber; custom cabinetry; polymer-based and other flooring products; and dash panels. This segment also provides wrapped vinyl, paper, and hardwood profile mouldings; interior passage doors; air handling products; slide-out trim and fascia; treated, untreated, and laminated plywood; fi…
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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.