Apcotex Industries Limited (APCOTEXIND) Fair Value & Analysis
Basic Materials · IN · Market cap ₹26.6B
Fair value as of: Jun 29, 2026
Analysis
Apcotex Industries Limited (APCOTEXIND) currently trades at ₹511.85, while our model-based Fair Value estimate is ₹332.53 — implying the stock looks roughly 35.0% overvalued today. We read business quality at 97/100 (high quality), in the Basic Materials 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
Apcotex Industries Limited manufactures and sells specialty emulsion polymers in India and internationally. The company offers synthetic rubber products, including nitrile butadiene rubber (NBR), NBR-PVC polyblends, high styrene rubber (HSR), and powdered nitrile butadiene rubber (PNBR); synthetic latexes, such as styrene-butadiene latex, nitrile latex, vinyl pyridine latex, pure acrylic and styrene acrylic latex, specialty NBR latex, XSB latex, and XNB latex; and B2C products under the ApcoBuild brand. Its products are used in automotive parts and components, hoses, rice dehusking rollers, LPG hoses, textile rollers, friction sheets, industrial rollers, fuel management systems, footwear, microcellular sheets, hard rubber goods, PVC modification, adhesives, coatings, gasketing, waterproofing, bonding agents, elastomeric paints, paper coatings, carpet backing, textile finishing, geotextiles, examination and industrial gloves, supported gloves, tyre cord dipping, fibre-to-rubber adhes…
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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.