Singapore Telecommunications Limited (SNGNF) Fair Value & Analysis
Communication Services · US · Market cap $57.3B
Fair value as of: Jun 24, 2026
Analysis
Singapore Telecommunications Limited (SNGNF) currently trades at $3.50, while our model-based Fair Value estimate is $2.30 — implying the stock looks roughly 34.3% 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
Singapore Telecommunications Limited, together with its subsidiaries, provides telecommunication services to consumers and small businesses in Singapore, Australia, and internationally. It operates through Optus, Singtel Singapore, NCS, and Digital InfraCo segments. The company provides mobile, equipment sales, fixed voice and data, satellite, ICT and managed services; pay television, content and digital services, and ICT services and sells equipments; and technology services to clients through its Gov+, Enterprise, and Telco+ groups. It also offers regional data center services under Nxera; satellite carrier services; and Paragon, a digital acceleration platform for 5G multi-access edge compute and cloud orchestration, as well as AI Cloud Service through RE:AI. In addition, the company offers services comprising insurance, my Singtel app, my smart network, GXS bank, dash, Singtel paylater, and telephony services. The company was incorporated in 1992 and is headquartered in Singapore.
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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.