Vera Bradley, Inc (VRA) Fair Value & Analysis
Consumer Cyclical · US · Market cap $110M
Fair value as of: Jun 25, 2026
Analysis
Vera Bradley, Inc (VRA) currently trades at $3.86, while our model-based Fair Value estimate is $2.78 — implying the stock looks roughly 28.0% 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: medium).
About the company
Vera Bradley, Inc., together with its subsidiaries, designs and manufactures women's handbags, luggage and travel items, fashion and home accessories, and gifts in the United States. It operates through two segments, Vera Bradley Direct and Vera Bradley Indirect. The company offers bag products, such as backpacks, totes, crossbodies, lunch bags, satchels, clutches, and baby bags; accessories, including ID holders, lanyards, wallets, wristlets, eyewear, various technology accessories, and bag charms. It also provides travel products comprising rolling luggage, cosmetics, travel and packing accessories, and travel bags, which include duffel and weekend bags; home products, such as textiles, throw blankets, beach towels, bedding, mugs, and tumblers; sleepwear, outerwear, slippers, and socks under the Vera Bradley brand; and stationery, licensing, freight, merchandising, and gift card breakage services. The company sells its Vera Bradley branded products through its full-line and outlet…
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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.