FLX Price sensitive 24 Apr 2026, 8:45 AM

Quarterly Activities/Appendix 4C Cash Flow Report

FELIX Group Holdings Ltd

Quarterly Activities/Appendix 4C Cash Flow Report

Key points

  • $12.7m Total Group ARR in Q3 FY26, supported by Nexvia
  • Four new enterprise customer wins and three expansions deals
  • Nexvia achieved ARR of $3.4m in Q3 FY26, up 12% on pcp
  • Advanced AI feature development focused on vendor assessment and bid analysis

Full summary

Felix Group Holdings Ltd (ASX:FLX) reported its quarterly business update and Appendix 4C for the period ended 31 March 2026 (Q3 FY26). The company's Total Group ARR reached $12.7m in Q3 FY26, reflecting a 47% increase from the prior corresponding quarter. This was driven by the addition of Nexvia, which contributed $3.4m ARR, an increase of 12% on pcp, and enterprise ARR of $7.3m, up 9% on pcp. Enterprise ARR growth was supported by four new customer wins, including Brisbane Catholic Education, and three existing customer contract expansions. Nexvia recorded $3.4m ARR in Q3 FY26, increasing 12% on pcp, driven by growth in customers, including the conversion of four Vendor Marketplace customers onto the Nexvia platform. Felix has accelerated the development of artificial intelligence capabilities across its Vendor Management and Sourcing modules, targeting vendor assessment and bid analysis workflows to reduce manual effort and accelerate decision-making for customers. The company's leadership team has been renewed, with the appointment of a new Chairman and Chief Executive Officer, who bring significant experience in scaling high-growth technology businesses. Felix reported receipts from customers of $3.9m and net operating cash outflows of ($1.2m) for the quarter, ending Q3 FY26 with $5.7m in cash and cash equivalents.

Outlook

Felix's focus is on turning the potential of its platform and customer base into a more connected offering to unlock consistent and scalable growth, including through the practical application of AI within procurement workflows.

Summary generated by a large language model. Please interpret with care.

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