4C Group (4C) Fair Value & Analysis
Technology · SE · Market cap 272M SEK
Fair value as of: Jun 24, 2026
Analysis
4C Group (4C) currently trades at kr 7.34, while our model-based Fair Value estimate is kr 4.50 — implying the stock looks roughly 38.7% 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: medium).
About the company
4C Group AB (publ), together with its subsidiaries, provides software solutions and expert services for organizational resilience, training, and crisis management worldwide. It operates through EMEA Software, APAC Software, North America Software, and Global Expert Services segments. The company offers Exonaut, a software platform that enables management of incidents, crises, risks, and compliance assurance; supports the maintenance and continuity of operations affected by disruptions and crises; and provides a software solution for military and civilian customers in exercise management and capability development. Its Exonaut defence platform also offers planning and programming, collective training and exercise management, wargame and simulation management, special forces selection, training measurement and evaluation, trials and experimentation management, lessons management, unit training management, deterrence reporting, and interoperability reporting management solutions. In ad…
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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.