Columbia Sportswear Company (COLM) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.3B
Analysis
Columbia Sportswear Company (COLM) currently trades at $63.95, while our model-based Fair Value estimate is $63.53 — implying the stock looks roughly 0.7% 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
Columbia Sportswear Company, together with its subsidiaries, engages in the design, development, marketing, and distribution of outdoor, active, and lifestyle products in the United States, Latin America, the Asia Pacific, Europe, the Middle East, Africa, and Canada. It provides apparel, accessories, and equipment for hiking, trail running, snow, fishing, hunting, and outdoor activities. The company also offers footwear products that include hiking boots; trail running shoes; rugged cold weather boots; sandals and shoes for use in water activities; and footwear for lifestyle wear. It serves its products through wholesale distribution channel comprising small independently operated specialty outdoor and sporting goods stores, sporting goods chains, department store chains, internet retailers, and international distributors, as well as through direct-to-consumer distribution channel, including a network of branded, outlet, temporary clearance and employee retail stores, brand-specific…
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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.