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Hellenic Telecommunications Organization S.A (HLTOY) Fair Value & Analysis

Communication Services · US · Market cap $9.0B

Price$10.92
Fair Value$13.26
Upside+21.4%
Quality95/100
Evidence: High Range $8.89 – $18.57

Analysis

Hellenic Telecommunications Organization S.A (HLTOY) currently trades at $10.92, while our model-based Fair Value estimate is $13.26 — implying the stock looks roughly 21.4% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Hellenic Telecommunications Organization S.A., together with its subsidiaries, engages in the provision of telecommunications and related services to residential and businesses in Greece and Romania. It operates through Fixed Business and Mobile business segments. The company offers fixed-line services, internet access services, national and international wholesale services, and TV services; mobile telecommunications services; and retail operations. It also provides fixed and mobile telephony broadband services; satellite telecommunication; financing services; technical support services; training services; and retailing and marketing services. In addition, the company is involved in real estate activities. The company was incorporated in 1949 and is based in Athens, Greece. Hellenic Telecommunications Organization S.A. operates as a subsidiary of Deutsche Telekom AG.

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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.