SES S.A (SESG) Fair Value & Analysis
Communication Services · FR · Market cap €4.0B
Analysis
SES S.A (SESG) currently trades at €7.19, while our model-based Fair Value estimate is €15.57 — implying the stock looks roughly 116.7% undervalued today. We read business quality at 94/100 (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
SES S.A. provides satellite-based data transmission capacity and ancillary services worldwide. The company offers content connectivity solutions, including network spanning satellite and ground infrastructure to create, deliver, and manage video and data solutions. It also provides data connectivity services through its fleet of geostationary earth orbit and medium earth orbit satellites, and ground infrastructures to the aviation, media and broadcast, cloud, cruise, energy, government, maritime, and telco and mobile network operator industries. In addition, the company provides linear video aggregation and distribution to direct-to-home, direct-to-cable, and internet protocol TV homes; channel management solutions comprising playout; and capacity, live feeds and redundancy features for sports and events organizations. It serves broadcasters, platform operators, and content owners. The company was formerly known as SES Global SA and changed its name to SES S.A. in December 2006. SES…
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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.