Oxford Industries, Inc (OXM) Fair Value & Analysis
Consumer Cyclical · US · Market cap $543M
Analysis
Oxford Industries, Inc (OXM) currently trades at $38.14, while our model-based Fair Value estimate is $4.15 — implying the stock looks roughly 89.1% overvalued today. We read business quality at 97/100 (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
Oxford Industries, Inc., an apparel company, designs, sources, markets, and distributes lifestyle products worldwide. The company offers men's and women's sportswear and related products under the Tommy Bahama brand; and women's and girls' dresses and sportswear, scarves, bags, jewelry, and belts, as well as children's apparel, swim, footwear, and licensed products under the Lilly Pulitzer brand. It also licenses Tommy Bahama brand for various products, such as indoor and outdoor furniture, beach chairs, bedding and bath linens, fabrics, leather goods and gifts, headwear, hosiery, sleepwear, shampoo, toiletries, fragrances, cigar accessories, resort operations, and other products; Johnny Was brand that designs, sources, markets and distributes upscale collections of affordable luxury, artisan-inspired bohemian apparel, accessories and home goods; and Lilly Pulitzer for stationery and gift products, home furnishing products, and eyewear. The company distributes its products through s…
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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.