Telstra Group (TLGPY) Fair Value & Analysis
Communication Services · US · Market cap $39.5B
Fair value as of: Jun 24, 2026
Analysis
Telstra Group (TLGPY) currently trades at $17.74, while our model-based Fair Value estimate is $12.07 — implying the stock looks roughly 32.0% overvalued today. We read business quality at 87/100 (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: medium).
About the company
Telstra Group Limited provides telecommunications and information services in Australia and internationally. The company operates through six segments: Telstra Consumer; Telstra Business; Telstra Enterprise Australia; Telstra International; Networks, IT and Products; and Telstra InfraCo. It offers telecommunication and technology products and services to consumer and small and medium business customers using mobile and fixed network technologies, as well as operates call centers, retail stores, distribution network, digital channels, distribution systems, and Telstra Plus customer loyalty program. The company also provides network capacity and management, unified communications, cloud, security, industry solutions, integrated and monitoring services to government and large enterprise and business customers; wholesale services, including voice and data; and telecommunication products and services to other carriers, carriage service providers, and internet service providers, as well a…
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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.