Filatex India Limited (FILATEX) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹23.3B
Fair value as of: Jun 29, 2026
Analysis
Filatex India Limited (FILATEX) currently trades at ₹52.72, while our model-based Fair Value estimate is ₹77.46 — implying the stock looks roughly 46.9% 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: high) — always confirm before acting.
About the company
Filatex India Limited manufactures, sells, and trades polyester filament yarn, and synthetic yarn and textiles in India and internationally. The company offers polyethylene terephthalate, polyester yarn such as partially oriented yarn and fully drawn yarn; partially oriented yarn, including shirting and suiting, sarees and ladies dress wear, and raw materials used to manufacture dty; and fully drawn yarn, such as apparel, fashion fabric, sportswear, home furnishing fabric, upholstery, and car seat cover. The company also offers drawn textured yarn, including outer/inner garments, woven and knitted fabric, skin-clinging garments, home furnishing, upholstery, and bags; air-textured yarn, such as automotive product, furnishing fabric, sewing thread, shirting and blouse, shoelace, and tarpaulin; and polypropylene yarn, includes hosiery, filtration fabric, lace, and other knitting and weaving application. In addition, the company offers narrow woven fabric, including body armor, helmet, …
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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.