Berger Paints India Limited (BERGEPAINT) Fair Value & Analysis
Basic Materials · IN · Market cap ₹572B
Analysis
Berger Paints India Limited (BERGEPAINT) currently trades at ₹546.25, while our model-based Fair Value estimate is ₹164.29 — implying the stock looks roughly 69.9% 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
Berger Paints India Limited manufactures and sells paints for home, professional, and industrial users in India and internationally. The company offers interior wall coatings, including designer finishes, interior emulsions, and ceiling paints; exterior wall coatings comprising exterior emulsions and textures, and roof and floor coatings; specialty industrial coatings; putty and cement paints; solvent, interior, exterior, metal, and wood primers; waterproofing solutions; wood finishes; enamels; aerosol spray paints, and DIY kits and stickers. It also provides automotive, fireproof, protective, floor, and powder coatings; road markings; construction chemicals, flooring compounds, bitumen and coal tar-based products, sealants and adhesives, and anti-corrosive coatings; lacquers; and various sanitization products. In addition, the company offers acrylic, silicate, and mineral plasters; thermal insulation adhesives; mortars; ready to use coat, wood effect, ribbed effect, concrete effect…
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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.