Caleres, Inc (CAL) Fair Value & Analysis
Consumer Cyclical · US · Market cap $440M
Fair value as of: Jun 24, 2026
Analysis
Caleres, Inc (CAL) currently trades at $12.27, while our model-based Fair Value estimate is $12.08 — implying the stock looks roughly 1.5% overvalued today. We read business quality at 96/100 (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
Caleres, Inc. engages in the designs, develops, sources, manufactures, and distributes footwear in the United States, Canada, East and Southeast Asia, and internationally. It operates through Famous Footwear and Brand Portfolio segments. The company offers licensed, branded, and private-label athletic, casual, and dress footwear products. The company provides brand-name fashion, casual, and athletic footwear, including Nike, Skechers, adidas, Crocs, Converse, Birkenstock, HeyDude, New Balance, Puma, Jordan, Vans, Bearpaw, Asics, and Brooks, as well as company-owned and licensed brands, such as Sam Edelman, Vionic, Allen Edmonds, Franco Sarto, Rykä, Vince, LifeStride, Dr. Scholl's Shoes, Blowfish Malibu, and Naturalizer. The company also operates naturalizer.com, naturalizer.ca, vionicshoes.com, samedelman.com, samedelman.ca, samedelman.co.uk, allenedmonds.com, allenedmonds.ca, shoebank.com, drschollsshoes.com, lifestride.com, francosarto.com, and ryka.com websites. In addition, it d…
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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.