Telefónica Deutschland Holding (TELDF) Fair Value & Analysis
Communication Services · US · Market cap $6.9B
Analysis
Telefónica Deutschland Holding (TELDF) currently trades at $2.26, while our model-based Fair Value estimate is $1.41 — implying the stock looks roughly 37.7% 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
Telefónica Deutschland Holding AG, together with its subsidiaries, provides integrated telecommunication services to private and business customers in Germany. It offers fiber-to-the-home lines; broadband services, consisting of very high data rate digital subscriber line, cable, fiber, and fixed mobile substitution services; and machine to machine communication services. The company also provides digital services in the fields of Internet of Things, as well as O2 Tv, O2 online protection, and O2 cloud. In addition, it provides access to infrastructure and services for its wholesale partners. Further, the company provides its products and services through a network of independently operated franchise and premium partner shops, and online and telesales channels, as well as indirect selling channels, such as partnerships and co-operations with retailers. It markets its products and services under the O2, Blau, AY YILDIZ, Ortel Mobile, and Telefonica brand names. The company was former…
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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.