Class Editori Spa (CLE) Fair Value & Analysis
Communication Services · IT · Market cap €45.2M
Fair value as of: Jun 26, 2026
Analysis
Class Editori Spa (CLE) currently trades at €0.1385, while our model-based Fair Value estimate is €0.2200 — implying the stock looks roughly 58.8% undervalued today. We read business quality at 84/100 (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: medium) — always confirm before acting.
About the company
Class Editori Spa engages in publishing business in Italy. It publishes newspapers, which offer news, features, and information of interest to economists, lawyers, bankers, and other professionals; and various magazines for business professionals and consumers. The company also operates TV channels, such as Class CNBC, Gambero Rosso, Class TV Moda, and Class life; and TV networks, including Telesia Airport, Telesia Metro, Telesia Bus, and Telesia Train. In addition, it provides radio services comprising classical music, opera, and jazz with news regarding business and finance, as well as updates from main markets. Further, the company is involved in the electronic publishing activities, which supply data, information, and financial news through various multimedia platforms, including cable, Intranet, Internet, TV, and instore/radio. Additionally, it provides internet applications like Milano Finanza, and MF Fashion. for smartphones and tablets; digital media activities through websi…
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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.