Movado Group (MOV) Fair Value & Analysis
Consumer Cyclical · US · Market cap $855M
Fair value as of: Jun 24, 2026
Analysis
Movado Group (MOV) currently trades at $38.69, while our model-based Fair Value estimate is $37.04 — implying the stock looks roughly 4.3% 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
Movado Group, Inc. designs, sources, markets, and distributes watches worldwide. It operates in two segments, Watch and Accessory Brands, and Company Stores. The company offers its watches under the Movado, Concord, Ebel, Olivia Burton, and MVMT brands, as well as licensed brands comprising Coach, Tommy Hilfiger, HUGO BOSS, Lacoste, Calvin Klein, and KATE SPADE NEW YORK. It also designs, sources, markets, and distributes jewelry and other accessories; and provides after-sales and shipping services. The company's customers include jewelry store chains, department stores, independent regional jewelers, network of independent distributors, online marketplaces, licensors' retail stores, and third-party e-commerce retailers. It sells directly to consumers through its e-commerce platforms. The company was formerly known as North American Watch Corporation and changed its name to Movado Group, Inc. in 1996. Movado Group, Inc. was founded in 1881 and is headquartered in Paramus, New Jersey.
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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.