Ixico Regulatory News (IXI)

IXICO plc

("IXICO", the "Company" or the "Group")

Trading update for the year ended 30 September 2025

Double digit revenue growth following increased strategic focus

16 October 2025 IXICO plc (AIM: IXI) - London, UK. IXICO, a global leader in neuroscience imaging and biomarker analytics, using its AI-driven platform to help advance drug development in neurological disorders, today announced a trading update, pre-audit, for its financial year ended 30 September 2025 ("FY25").

· FY25 revenues exceed market expectations at £6.5 million (2024: £5.8 million). Year-on-year revenues increased by 13% reflecting new contract wins, existing contract extensions and a broadening of market offering into new verticals.

· Year-end order book of £13.8 million (2024: £15.3 million). In H2, the order book increased from £13.1 million (31 March 2025) reflecting £4.2 million of new contract wins and contract extensions offset by £3.3 million of revenues recognised and £0.2 million of minor project scope and foreign exchange adjustments.

· Acceleration of new wins is continuing into FY26 with £0.9 million of new contracts and contract extensions signed since the end of September.

· Year-end cash of £3.5 million (2024: £1.8 million). Year-on-year increase reflects a £3.7 million (net of fees) capital raise completed in H1-25 offset by investments made in the Company's I-L-S strategy.

· Full year loss before interest, tax, depreciation, and amortisation ("EBITDA") is expected to be slightly improved on market expectations at no more than a £1.6 million loss (2024: £1.7 million loss). This reflects the double-digit revenue growth offset by specific investments designed to sustain this rate of growth in future years.

The Company intends to announce its audited results for FY25 in December 2025.

Bram Goorden, CEO of IXICO, commented: "I am thrilled with the performance of the IXICO team this first full financial year of my tenure with the Company. The oversubscribed capital raise at the start of the year allowed us to double down investments in specific areas of growth targeting new customers and novel verticals. It is my strong belief that these initial positive signals will translate into a sustained period of growth and value creation as we further scale our impact in the thriving market of neurodegenerative disease biopharma R&D. Failure is not an option. Patients are waiting for solutions, and the biopharma industry is working harder than ever in CNS to develop treatments."

The information contained within this announcement is deemed by the Company to constitute inside information as stipulated under the Market Abuse Regulation (EU) No. 596/2014 as amended by The Market Abuse (Amendment) (EU Exit) Regulations 2019. Upon the publication of this announcement via the Regulatory Information Service, this inside information is now considered to be in the public domain.

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About IXICO www.IXICO.com

IXICO is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world.

The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility.