Elisa Oyj (ELISA) Fair Value & Analysis
Communication Services · FI · Market cap €6.6B
Analysis
Elisa Oyj (ELISA) currently trades at €37.76, while our model-based Fair Value estimate is €34.73 — implying the stock looks roughly 8.0% overvalued today. We read business quality at 95/100 (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: high).
About the company
Elisa Oyj provides telecommunications, information and communication technology (ICT), and online services in Finland, rest of Europe, and internationally. It operates through two segments: Consumer Customers and Corporate Customers. The company offers consumers with telecommunications and communications services, including fixed and mobile subscriptions, supplementary digital services, cable TV subscriptions, and entertainment services, as well as IT and communication solutions. It provides sedApta, supply chain management and operational planning software; camLine, an automation, MES, and data analytics software; CalcuQuote, a integrated software for sourcing, quoting, procurement, and supplier collaboration; and TenForce, a platform to strengthen safety culture and operational oversight across complex industrial environments. It also offers Polystar, an intelligent network analytics and optimization software. The company markets its solutions under Elisa IndustrIQ brand. Further,…
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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.