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TX Group (TXGN) Fair Value & Analysis

Communication Services · CH · Market cap CHF 1.3B

PriceCHF 127.00
Fair ValueCHF 45.01
Upside-64.6%
Quality84/100
Evidence: Medium Range CHF 41.42 – CHF 50.43

Analysis

TX Group (TXGN) currently trades at CHF 127.00, while our model-based Fair Value estimate is CHF 45.01 — implying the stock looks roughly 64.6% overvalued today. We read business quality at 84/100 (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: medium).

About the company

TX Group AG operates a network of platforms and participations that provides users with information, orientation, entertainment, and other services in Switzerland. It operates through five segments: TX Markets, Goldbach, 20 Minuten, Tamedia, and Group & Ventures. The company operates platforms in the areas of real estate, automotive, marketplaces, and finance and insurance services, as well as operates JobCloud, a job portal. It also provides advertising marketing in the areas of TV, OOH, radio, online, mobile and performance marketing. In addition, the company offers daily newspapers, magazines, and publishing services. Further, the company provides news through news media outlets; Zattoo; and Doodle, as well as fintech area platforms. The company was formerly known as Tamedia AG and changed its name to TX Group AG in January 2020. TX Group AG was founded in 1893 and is based in Zurich, Switzerland.

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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.