COLUM (COLUM) Fair Value & Analysis
Technology · DK · Market cap 1.3B DKK
Fair value as of: Jun 24, 2026
Analysis
COLUM (COLUM) currently trades at kr 9.94, while our model-based Fair Value estimate is kr 5.49 — implying the stock looks roughly 44.8% 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
Columbus A/S, a digital advisory and IT services consultancy company, provides digital transformation solutions for the manufacturing, retail and distribution, food and beverage, and life science industries. The company offers cloud services; data and AI solutions; sales, marketing, and customer and field services; digital commerce; managed services; intelligent business process automation and apps; finance and supply chain; enterprise information management; cybersecurity; strategy and growth; transformation strategy; and sustainability solutions. It also provides end-to-end data solutions, including data strategy development, modern data platform design, and artificial intelligence (AI), machine learning (ML), and Generative AI (GenAI) solutions; and enterprise resource planning (ERP) services and spanning services for supply chain, production, finance, project control, human resource and robotics and automation services, Microsoft Copilot and AI Modern Work offerings. The company…
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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.