XPEL, Inc (XPEL) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.3B
Analysis
XPEL, Inc (XPEL) currently trades at $47.90, while our model-based Fair Value estimate is $34.06 — implying the stock looks roughly 28.9% overvalued today. We read business quality at 93/100 (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
XPEL, Inc. manufactures, installs, sells, and distributes protective films, coatings and related services. It offers automotive and surface paint protection, windshield protection, and automotive and architectural window films, as well as proprietary DAP software. The company also provides pre-cut film products, merchandise and apparel, ceramic coatings, installation, and tools and accessories; and training services to customers for the installation of its products. In addition, the company offers paint protection kits, car wash products, after-care products, and installation tools through its website. The company sells and distributes its products through independent installers, new car dealerships, third-party distributors, automobile original equipment manufacturers, and company-owned installation centers, as well as through franchisees and online channels. The company operates in the United States, Canada, China, the Asia Pacific, European Union, the United Kingdom, Africa, Indi…
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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.