Everest Industries Limited (EVERESTIND) Fair Value & Analysis
Industrials · IN · Market cap ₹7.3B
Fair value as of: Jun 29, 2026
Analysis
Everest Industries Limited (EVERESTIND) currently trades at ₹461.55, while our model-based Fair Value estimate is ₹417.10 — implying the stock looks roughly 9.6% overvalued today. We read business quality at 97/100 (high quality), in the Industrials 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: medium).
About the company
Everest Industries Limited, together with its subsidiaries, manufactures and trades in building products for residential, commercial, and industrial sectors in India and internationally. The company operates in Building Products and Steel Buildings segments. It offers roofing products, such as evercool roofing sheets, fibre cement roofing sheets, colour coated roofing sheets, hi-tech corrugated roofing profile sheets, and EPDM rubber washers; heavy duty boards, ready-made sandwich panels for walls, fibre cement ceiling boards, designer ceiling and decorative wall panels, wooden cement planks, textured wall panels, coloured cement boards, and clean room panels; and other building products and accessories. The company also provides wall solutions, including internal and solid dry walls, fences and gates, and prefabricated buildings; ceiling solutions comprising grid and concealed ceilings, soffit, and rooftile underlay products; wall cladding solutions consisting of external and inter…
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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.