Tata Communications Limited (TATACOMM) Fair Value & Analysis
Communication Services · IN · Market cap ₹562B
Analysis
Tata Communications Limited (TATACOMM) currently trades at ₹2,023, while our model-based Fair Value estimate is ₹715.02 — implying the stock looks roughly 64.7% overvalued today. We read business quality at 96/100 (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
Tata Communications Limited provides telecom services worldwide. The company operates through Data Services, Voice Solutions, Payment Solutions, Transformation Services, Campaign Registry, and Real Estate segments. It provides voice and data transmission services; internet connectivity services; and other value-added services, such as unified conferencing and collaboration, managed hosting, mobile global roaming and signaling, transponder lease, and television up-linking, and other managed services, as well as sells and leases bandwidth on undersea cable systems. The company also offers end-to-end automated teller machines deployment, POS enablement, financial inclusion, card issuance and related managed services, and switching services to banking sector; cyber security; data center colocation services; network management and support services; system and platform integration services for Internet of Things (IoT) solutions; and provides IT consultation and support on services. In add…
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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.