Aeffe S.p.A (AEF) Fair Value & Analysis
Consumer Cyclical · IT · Market cap €14.4M
Fair value as of: Jun 26, 2026
Analysis
Aeffe S.p.A (AEF) currently trades at €0.1775, while our model-based Fair Value estimate is €0.1603 — implying the stock looks roughly 9.7% overvalued today. We read business quality at 92/100 (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
Aeffe S.p.A. engages in the design, production, and distribution of fashion and luxury goods worldwide. It operates in two segments, Prêt-a-Porter, and Footwear and Leather Goods. The company offers luxury prêt-a-porter garments and lingerie, swimwear, beachwear, and loungewear for men's/women's under the Alberta Ferretti, Philosophy di Lorenzo Serafini, Moschino, Boutique Moschino, and Love Moschino brands, as well as brands licensed from other companies. It also manages licensing agreements granted to other companies to manufacture Aeffe and Moschino branded product lines, such as the Moschino branded perfumes and sunglasses. In addition, the company is involved in design, production, and distribution of footwear, small leather goods, bags, and matching accessories under the Pollini brand; and manages licensing agreements granted to other companies to manufacture Pollini branded products, such as umbrellas, scarves, and ties. Further, it licenses the production and distribution of…
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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.