Webstep ASA (WSTEP) Fair Value & Analysis
Technology · NO · Market cap 414M NOK
Fair value as of: Jun 25, 2026
Analysis
Webstep ASA (WSTEP) currently trades at kr 13.30, while our model-based Fair Value estimate is kr 29.70 — implying the stock looks roughly 123.3% 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
Webstep ASA provides information technology (IT) consultancy services to public and private businesses in Norway and Sweden. The company offers consulting, digitalization, .Net, Java, open source, full stack, front and back end, user experience, integration, Artificial Intelligence, mobility, cloud apps, machine learning, business intelligence, big data, data warehousing, Internet of Things, virtual robotics, devops, application service management, data science, and project and test management services. It also provides ISTQB, PMP, Prince 2, ITIL, scrum, delivery projects, CRM, ERP, process management, project management methodology, facilitating, controller, program coordination, contract management, offshoring management, and mentoring services; mobility, cloud computing, cloud services, integration, sensor technology, product development, service development, beacons, enterprise user experience, web analysis, design team, amazon web services, azure, big data, prediction, mobility…
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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.