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Orange Polska S.A (PTTWF) Fair Value & Analysis

Communication Services · US · Market cap $2.1B

Price$2.05
Fair Value$2.70
Upside+31.7%
Quality95/100
Evidence: High Range $2.17 – $3.94

Analysis

Orange Polska S.A (PTTWF) currently trades at $2.05, while our model-based Fair Value estimate is $2.70 — implying the stock looks roughly 31.7% 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

Orange Polska S.A., together with its subsidiaries, provides telecommunications services for individuals, small and large businesses, and corporations in Poland. The company offers mobile and fixed telecommunications services, including calls, messaging, content, and access to the Internet and TV; and information technology and integration services, leased lines, and other value-added telecommunication services. It also engages in the sale of telecommunications equipment; provision of data transmission services; and construction of telecommunications infrastructure. In addition, the company is involved in the local operation of fibre infrastructure; provision of training, insurance agency, and charity foundation services; management of employee pension funds; and point of sale rental business. The company was incorporated in 1991 and is based in Warsaw, Poland. Orange Polska S.A. operates as a subsidiary of Orange S.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.