Savers Value Village, Inc (SVV) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.5B
Fair value as of: Jun 24, 2026
Analysis
Savers Value Village, Inc (SVV) currently trades at $9.71, while our model-based Fair Value estimate is $3.23 — implying the stock looks roughly 66.7% 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
Savers Value Village, Inc., a thrift operator, sells second-hand merchandise in retail stores in the United States, Canada, and Australia. It purchases secondhand textiles, including clothing, bedding, and bath items; shoes; accessories; housewares; books; and other goods from non-profit partners and then processes, selects, prices, merchandises, and sells them in its stores. The company operates stores under the Savers, Value Village, Value Village Boutique, Village des Valeurs, Unique, and 2nd Avenue brands. It serves retail and wholesale customers. The company was formerly known as S-Evergreen Holding LLC and changed its name to Savers Value Village, Inc. in January 2022. Savers Value Village, Inc. was founded in 1954 and is based in Bellevue, Washington.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Savers Value Village, Inc (SVV) undervalued?
What is the fair value of SVV?
What is the quality score of SVV?
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.