Aditya Birla Fashion and Retail Limited (ABFRL) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹73.0B
Fair value as of: Jun 29, 2026
Analysis
Aditya Birla Fashion and Retail Limited (ABFRL) currently trades at ₹60.12, while our model-based Fair Value estimate is ₹20.80 — implying the stock looks roughly 65.4% overvalued today. We read business quality at 93/100 (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: low).
About the company
Aditya Birla Fashion and Retail Limited manufactures, distributes, and retails fashion apparel and accessories in India and internationally. It operates in Pantaloons and Ethnic & Others segments. The company offers shirts, trousers, denims, t-shirts, dresses, suits and blazers, casuals, ceremonial, and party wear; shorts, joggers, track pants, sweatshirts, jackets, polos, chinos, kurtas and bottom wear, occasion wear, festive ensembles, classic shirts, logo T-shirts, casual pants, lehengas and kurta sets, innerwear, athleisure wear, workwear, tops, sleepwear, crops tops, skirts, jeans, and sportswear; and accessories, as well as footwear, handbags, bed linen, towels, smart table linen, dressy cushion covers, and others. It markets its products under the Louis Philippe, Van Heusen, Allen Solly, and Peter England brands, as well as The Collective, Ralph Lauren, Hackett London, Ted Baker, and Fred Perry luxury brands; and ethnic wear products under the Sabyasachi, S&N' by Shantnu & Ni…
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Frequently asked questions
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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.