V.F. Corporation (VFC) Fair Value & Analysis
Consumer Cyclical · US · Market cap $6.5B
Analysis
V.F. Corporation (VFC) currently trades at $16.91, while our model-based Fair Value estimate is $10.72 — implying the stock looks roughly 36.6% 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
V.F. Corporation, together with its subsidiaries, offers branded apparel, footwear, and accessories for men, women, and children in the Americas, Europe, and the Asia-Pacific. The company operates through two segments: Outdoor and Active. The company provides outdoor apparel, footwear, equipment, accessories; and style-forward and weather-ready footwear, apparel, and accessories under the Timberland, Timberland PRO, and The North Face brands. It also offers youth culture/action sports-inspired and streetwear apparel, footwear, and accessories; handbags, luggage, backpacks, totes, and accessories; and backpacks and luggage under the Vans, Kipling, Eastpak, and JanSport brands. In addition, the company provides performance-based footwear; performance merino wool and other natural fibers-based apparel and accessories; performance-based footwear; and high-performance apparel and accessories based on natural fibers under the Smartwool, Napapijri, Icebreaker, and Altra brands. The company…
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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.