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Harmoney (HMY) Q3 2025 TU earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for Harmoney Corp Limited

Q3 2025 TU earnings summary

7 Jan, 2026

Financial performance and guidance

  • Upgraded FY25 Cash NPAT guidance to $5.5 million, with a 14% cash return on equity YTD and a 20% run rate targeted for Q4.

  • FY26 targets remain at over $10 million Cash NPAT and 25%+ cash return on equity, driven by full Stellare 2.0 rollout.

  • Loan book reached $798 million, up 5% YoY, with Australian growth offsetting a 6% contraction in New Zealand.

  • Net interest margin improved to 9.1%, with new lending margins above 10% and credit losses down to 3.8%.

  • Cost-to-income ratio reduced to 18%, reflecting automation and scalability.

Capital management and funding

  • Capital efficiency allows 96% of the loan book to be funded by borrowings, with over $25 million in cash reserves.

  • Cash reserves can support loan book growth to $1.2 billion without new equity; profits are reinvested for further growth.

  • Announced an on-market share buyback of up to 5% of shares, commencing 13 May 2025 and ending by 29 April 2026.

  • Plans to repay some corporate debt post-buyback, with $7.5 million of undrawn debt cancelled and substantial cash retained for growth.

  • Funding lines are diversified across three major Australian banks and an established ABS program, renewed at staggered intervals.

Business model and platform

  • Stellare 2.0 platform drives origination, automation, and customer retention, with over 10,000 new applicants monthly.

  • Embedded value in the loan book estimated at $120 million, including $70 million risk-adjusted income.

  • AI-driven customer acquisition targets prime borrowers, supporting high margins and low cost-to-income.

  • Repeat customers are a significant growth driver, with 140% returning for additional lending at near zero cost.

  • Platform enables scalability with minimal cost increases, supported by a team focused on engineering, data science, and product innovation.

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