Interparfums, Inc (IPAR) Fair Value & Analysis
Consumer Defensive · US · Market cap $2.9B
Fair value as of: Jun 24, 2026
Analysis
Interparfums, Inc (IPAR) currently trades at $99.42, while our model-based Fair Value estimate is $110.42 — implying the stock looks roughly 11.1% undervalued today. We read business quality at 80/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Interparfums, Inc., together with its subsidiaries, manufactures, markets, and distributes a range of fragrances and fragrance related products in the United States and internationally. It operates in two segments, European Based Operations and United States Based Operations. The company offers its fragrance and cosmetic products under the Boucheron, Coach, Jimmy Choo, Karl Lagerfeld, Kate Spade, Lanvin, Moncler, Montblanc, Rochas, Longchamp, Off-White, Van Cleef & Arpels, Abercrombie & Fitch, Anna Sui, Donna Karan, DKNY, Emanuel Ungaro, Ferragamo, Graff, GUESS, Hollister, MCM, Oscar de la Renta, Ungaro, and Roberto Cavalli brands, as well as French Connection, Intimate, Solférino, Tristar, and Lacoste trademarks. It sells its products to department stores, perfumeries, specialty stores, duty free shops, and domestic and international wholesalers and distributors, as well as through e-commerce sites. The company was formerly known as Jean Philippe Fragrances, Inc. and changed its na…
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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.