EVS SA (EVS) Fair Value & Analysis
Technology · BE · Market cap €402M
Fair value as of: Jun 24, 2026
Analysis
EVS SA (EVS) currently trades at €28.20, while our model-based Fair Value estimate is €47.51 — implying the stock looks roughly 68.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
EVS SA provides live video technology for broadcast and media productions in the United States, Europe, Africa, Middle East, and Asia Pacific. The company offers LiveCeption, which provides live production, replay, and highlights solution; MediaCeption, a content management for live production; T-motion, a media production robotics for indoor and outdoor environments; and MediaInfra that provides infrastructure management and processing solutions. It also provides PowerVision, which provides transformational advances in sports officiating and live video analysis, ensuring accuracy and efficiency in high-stakes moments through the most advanced AI video analysis tools; and VIA MAP, which enables access to an integrated ecosystem from live production to distribution and monetization. In addition, the company provides other services comprising advice, installation, project management, rental, training, maintenance, and distant support services. Further, it offers XT-VIA, LSM-VIA, XtraM…
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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.