Salvatore Ferragamo S.p.A (SFRGF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.5B
Analysis
Salvatore Ferragamo S.p.A (SFRGF) currently trades at $8.90, while our model-based Fair Value estimate is $6.59 — implying the stock looks roughly 26.0% 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
Salvatore Ferragamo S.p.A., through its subsidiaries, creates, produces, and sells luxury goods for men and women in Europe, North America, Japan, the Asia Pacific, and Central and South America. The company offers men's and women's footwear; leather goods comprising handbags, suitcases, belts, wallets, and other men's and women's leather accessories; made-to-order men's and ladies products; ready to wear products for men's and ladies, including knitwear, clothes for formal occasions and outwear, such as husky jackets, ponchos, and leather garments, as well as sportswear, and leisure wear. It also provides silk accessories, such as ties, foulards, scarves, shawls, gloves, and costume jeweler, as well as plaid throws, cushions, and beach towels; men's and ladies sunglasses and prescription glasses; watches; gold, diamond, gemstone, and silver jeweler; perfumes; and fragrances. In addition, the company is involved in the real estate management business. It sells its products under the…
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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.