Alok Industries Limited (ALOKINDS) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹63.3B
Fair value as of: Jun 29, 2026
Analysis
Alok Industries Limited (ALOKINDS) currently trades at ₹12.83, while our model-based Fair Value estimate is ₹19.82 — implying the stock looks roughly 54.5% undervalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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: low) — always confirm before acting.
About the company
Alok Industries Limited manufactures and sells textile products in India and internationally. The company offers polyester yarns, including recycled drawn textured yarns (DTY), biodegradable DTY, specialty DTY, fully dyed yarn, polyester staple fiber, polyester chips, and partially oriented yarns; ring spun, gassed, two-for-one, and open-end yarns; apparel fabrics, such as piece dyed, yarn dyed, printed fabrics, and specialty fiber blends; and bed and bath home textiles comprising sheet sets, duvet sets, and quilts. It also provides garments, including shirts, dresses, nightwear, polos, t-shirts, boxers, blouses, and loungewear; textile accessories that consist of bags and handkerchiefs; technical textiles, such as fire-retardant solutions, high visibility fabrics, healthcare uniforms, camouflage defense fabrics, and workwear solutions; and corrugated packaging comprising corrugated boxes and textile tubes. The company was incorporated in 1986 and is based in Navi Mumbai, India.
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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.