DNB Carnegie Småbolagsdag
Logotype for CAG Group

CAG Group (CAG) DNB Carnegie Småbolagsdag summary

Event summary combining transcript, slides, and related documents.

Logotype for CAG Group

DNB Carnegie Småbolagsdag summary

2 Dec, 2025

Leadership and organizational overview

  • CEO with extensive leadership experience in tech, including five previous CEO roles, joined in 2018 to lead the IPO.

  • Company has doubled revenue since 2018, now with 420 employees and 872 million SEK in revenue for the last year, and an 8.6% margin.

  • Operates as a group of nine independent subsidiaries, each focused on specific niches.

  • CEO announced stepping down after eight years, citing personal reasons and confidence in the company's current position.

  • Recruitment for a new CEO is ongoing, with the role considered highly attractive.

Business segments and market focus

  • Defense is a core segment, representing 35% of revenue, with major clients like FMV, FMA, FLO, Saab, and BAE Hägglunds.

  • Services include systems life cycle management, requirements handling, configuration management, and integrated logistics support.

  • Bank and finance is the second largest segment (25%), providing IT operations, portfolio management systems, and services to major pension funds and banks.

  • The third segment is public sector, focusing on system development, cybersecurity, and project management for agencies like Tillväxtverket and Skatteverket.

  • Noted tougher conditions in the public sector due to budget constraints, but underlying demand remains.

Strategic direction and financial targets

  • Updated financial targets: 10% annual growth and 10% EBITA margin over the next 3–5 years.

  • Growth strategy is a 50/50 mix of organic growth and acquisitions, leveraging the group’s structure for easy integration.

  • Strong balance sheet with low debt and about 100 million SEK in cash, enabling acquisition capacity of 200–250 million SEK.

  • Margin improvement efforts focus on optimizing the ratio of billable staff to overhead and operational efficiency.

  • AI is used for internal efficiency and client solutions, especially in system development and anti-fraud, but not expected to reduce workforce needs.

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