Ashapura Minechem Limited (ASHAPURMIN) Fair Value & Analysis
Basic Materials · IN · Market cap ₹64.0B
Fair value as of: Jun 29, 2026
Analysis
Ashapura Minechem Limited (ASHAPURMIN) currently trades at ₹671.30, while our model-based Fair Value estimate is ₹517.96 — implying the stock looks roughly 22.8% 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
Ashapura Minechem Limited is involved in the mining, manufacturing, and trading of various minerals and its derivative products in India and internationally. The company provides bauxite, bentonite, kaolin, silica sand, limestone, and gypsum for aluminium, foundry, cosmetics, metal ore, pelletization, construction, and paper applications. It also offers fused alumina, high alumina cement, castables, calcined bauxite, chamotte, mullite, and monoliths for abrasives, refractories, foundries, grinding, and road surfacing. In addition, the company offers ceramic and silica proppants, bentonite, barytes, and attapulgite for use in oil well drilling and hydraulic fracturing; acid activated bleaching clay, activated bauxite, clay catalysts, cat litter, and siliceous earth for bleaching edible oil, petroleum refining, water purification, pet care, and bleaching waste oils; ground calcium carbonate, calcined kaolin, white barytes, and talc for ceramics, glass, paper, paints, plastics, and bui…
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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.