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Echo IQ (EIQ) Q4 2024 TU earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for Echo IQ Limited

Q4 2024 TU earnings summary

8 Oct, 2025

Strategic and operational highlights

  • Submitted FDA 510(k) application for EchoSolv after successful US Reader Study; FDA review ongoing with additional information requested and response expected soon.

  • Entered a commercial licensing agreement with ScImage Inc., integrating EchoSolv into the PICOM365 platform, targeting deployment in key US cardiology practices and hospitals.

  • Commenced a new clinical study with St. Vincent's Institute to validate a novel AI algorithm for heart failure detection, aiming for FDA clearance and reimbursement codes.

  • EchoSolv demonstrated at a major US heart conference, showing 15% higher detection of severe aortic stenosis compared to human diagnosis, with significant benefits for underdiagnosed cases.

  • Echo IQ's heart failure innovation to be featured in two late-breaking science presentations at the European Society of Cardiology Congress in August 2024.

Financial and corporate update

  • Cash and cash equivalents at 30 June 2024 were $2.117M, with $2.125M received from option exercises during the quarter.

  • Net cash used in operating activities for the quarter was $1.684M, with estimated 1.3 quarters of funding available at current burn rate.

  • $122,000 paid to related parties for director salaries and associated costs.

  • No further performance securities to be issued under the lapsed Alerte Echo IQ Pty Ltd acquisition agreement.

  • Directors expect to receive a $1.2M R&D tax rebate in coming quarters and are confident in raising additional capital if needed.

Outlook and upcoming priorities

  • Focus on securing FDA clearance for the AI solution for aortic stenosis and advancing reimbursement code applications in the US.

  • Support commercial applications in the US Remote Patient Monitoring sector and convert sales pipeline into agreements.

  • Continue clinical validation of the heart failure AI algorithm.

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