Bharti Hexacom Limited (BHARTIHEXA) Fair Value & Analysis
Communication Services · IN · Market cap ₹740B
Fair value as of: Jun 24, 2026
Analysis
Bharti Hexacom Limited (BHARTIHEXA) currently trades at ₹1,504, while our model-based Fair Value estimate is ₹735.17 — implying the stock looks roughly 51.1% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
Bharti Hexacom Limited provides mobile services, fixed-line telephone, and broadband services to end consumers under the Airtel brand in India. It operates through Mobile Services and Home and Office Services segments. The Mobile Services segment provides voice and data telecom services through wireless technology comprising 2G, 4G, and 5G networks; and offers intra-city fiber networks. The Home and Office Services segment offers voice and data communications through fixed-line network and broadband technology for homes and offices. It also offers subscriptions for voice, data, messaging, and interconnection/roaming services, as well as other added value services. In addition, the company provides Airtel Black, a solution for households that combines mobility, Wi-Fi, digital TV, and OTT. The company was formerly known as Hexacom India Limited and changed its name to Bharti Hexacom Limited in December 2004. The company was incorporated in 1995 and is based in New Delhi, India. Bharti…
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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.