cBrain A/S, a software company, (CBRAIN) Fair Value & Analysis
Technology · DK · Market cap 1.2B DKK
Fair value as of: Jun 24, 2026
Analysis
cBrain A/S, a software company, (CBRAIN) currently trades at kr 47.95, while our model-based Fair Value estimate is kr 44.10 — implying the stock looks roughly 8.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
cBrain A/S, a software company, provides software solutions for government, private, education, and non-profit sectors in Denmark, the European Union, and internationally. The company offers F2 Digital Platform, an integrated software solution that manages cases and documents for government routines and compliance. It also provides Artificial Intelligence (AI) products, such as AI task specialist and assistant; case management and workflow automation comprising case folders and templates; FOI and request management, including request type and FOI requests; and document and records management, such as documents, document templates, records, and file plans platforms. It also offers approval and requests, including administrator approvals and approvals; collaboration and communication comprising communication and chat; and citizen portals and self-services, including self-service configuration and citizen facing portals platforms. In addition, the company provides software subscription…
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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.