NOS, S.G.P.S., S.A (ZONNF) Fair Value & Analysis
Communication Services · US · Market cap $3.1B
Analysis
NOS, S.G.P.S., S.A (ZONNF) currently trades at $6.00, while our model-based Fair Value estimate is $9.27 — implying the stock looks roughly 54.5% 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
NOS, S.G.P.S., S.A. together with its subsidiaries, engages in the telecommunications and entertainment business. The company offers cable and satellite television, voice and internet access, mobile broadband internet access and mobile voice; and voice over internet protocol services. It is involved in publishing and sale of video grams; advertising on pay-TV channels; operation of cinemas and mobile communications network; distribution of films; production of pay-TV channels; data center management; licensing; and provision of engineering and consultancy services in information systems. In addition, the company engages in the negotiation, acquisition, purchase, and distribution of content rights and other multimedia products; distributing films; acquiring/negotiating rights for pay-TV and video-on-demand; cinema exhibition and distribution; sale of DVDs and insurance; and provision of security solutions. Further, it invests in and supports the development of companies that commerci…
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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.