Digia Oyj (DIGIA) Fair Value & Analysis
Technology · FI · Market cap €158M
Fair value as of: Jun 24, 2026
Analysis
Digia Oyj (DIGIA) currently trades at €5.88, while our model-based Fair Value estimate is €8.70 — implying the stock looks roughly 48.0% 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
Digia Oyj operates as a software and service company in Finland, Sweden, and internationally. The company offers design and business consulting services; architecture design; e-commerce solutions; application development; information and cyber security; data analytics and business intelligence services; integration and data (APIs) solutions; robotics and automation; artificial intelligence solutions; and monitoring, service management, and cloud services, as well as online, mobile, E-commerce, and digital marketing services. It also provides enterprise resource planning (ERP) solutions comprising Digia Envision, an ERP solution; Microsoft Dynamics 365 Business Central; Oracle NetSuite, a cloud-based ERP system; and Digia Logistics, an ERP system for logistics and handling companies. In addition, the company offers Microsoft Dynamics 365 CRM, a cloud-based platform that ready-made solutions provides sales management, customer service, field operations, and marketing; Microsoft Power …
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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.