B3 Consulting Group (B3) Fair Value & Analysis
Technology · SE · Market cap 222M SEK
Fair value as of: Jun 24, 2026
Analysis
B3 Consulting Group (B3) currently trades at kr 20.40, while our model-based Fair Value estimate is kr 33.69 — implying the stock looks roughly 65.1% undervalued today. We read business quality at 87/100 (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: medium) — always confirm before acting.
About the company
B3 Consulting Group AB (publ) operates as a consultancy company that provides IT and management consultancy services in Sweden. It offers digital transformation, system development, cloud and infrastructure solutions, cybersecurity, healthcare digitalization, recruitment, program and project management, and specialized services. The company also provides generative AI and automation; management and governance; ServiceNow; purchasing and procurement; security; business applications; finance and transformation; nearshoring; web, design and e-commerce; data-driven work; and Sitevision solutions. It serves the banking, finance and insurance; eHealth; member organizations; public; industry; trade; and media and entertainment sectors. The company was formerly known as B3IT Management AB (publ) and changed its name to B3 Consulting Group AB (publ) in May 2018. B3 Consulting Group AB (publ) was incorporated in 2001 and is headquartered in Stockholm, Sweden.
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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.