Havells India Limited (HAVELLS) Fair Value & Analysis
Industrials · IN · Market cap ₹722B
Analysis
Havells India Limited (HAVELLS) currently trades at ₹1,175, while our model-based Fair Value estimate is ₹407.28 — implying the stock looks roughly 65.3% 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: high).
About the company
Havells India Limited, a fast-moving electrical and electronic durables company, manufactures, trades in, and sells various consumer electrical and electronic products in India and internationally. The company operates through six segments: Switchgears, Cables, Lighting and Fixtures, Electrical Consumer Durables, Lloyd Consumer, and Others. It offers switches; switchgears, such as circuit breakers, energy savers, human safety equipment, distribution boards, surge protection devices, and control and monitoring devices, as well as magnetic contractor, thermal overload relays, switchgear, circuit breakers, and starters; lighting products; and home appliances, including air conditioners, LED televisions, washing machines, refrigerators, air coolers and purifiers, appliances, personal grooming products, water heaters and purifiers, and geysers. The company also provides flexible, power, control, and fire survival cables; fans comprising ceiling, table, pedestal, wall, ceiling mounting, p…
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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.