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Appen
Appen (APX) investor relations material
Appen Q4 2025 TU earnings summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Q4 2025 TU earnings summary28 Jan, 2026
Executive summary
Q4 FY25 revenue reached $73.4M, up 10% year-over-year and 33% sequentially, driven by new and expanding generative AI projects.
Underlying Q4 FY25 EBITDA (ex FX) was $13.3M, up 182% year-over-year, reflecting operational efficiencies and technology innovation.
Strong performance in both China and Global divisions, with China achieving an annualized revenue run-rate over $135M and Global benefiting from generative AI project expansion.
FY25 revenue totaled $230.8M, up 4.5% year-over-year, with gross margin improving to 40.3%.
Strong cash position at year-end with $59.8M on hand.
Financial highlights
Q4 FY25 gross margin improved to 45.6%, up 530bps year-over-year, due to a higher mix of generative AI projects.
FY25 underlying EBITDA before FX was $12.2M, up 251% year-over-year, with a 5.3% margin for the year.
Employee and other expenses decreased due to cost efficiencies, partially offset by increased expenses in China to support growth.
Share-based payments expense dropped 59.3% year-over-year.
Cash balance at December 31, 2025 was $59.8M, up from $50.9M at September 30, 2025.
Outlook and guidance
Focus for 2026 includes high data quality, customer growth in hyperscalers and foundation model builders, expansion into new data segments, and continued operational efficiency.
Management expects continued momentum into FY26, driven by generative AI projects and international expansion.
Generative AI project growth outlook for FY26
Impact of cost efficiencies on future margins
Product development investment strategy
Partial view of Summaries dataset, powered by Quartr API
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Next Appen earnings date
H2 202525 Feb, 2026
Appen
Next Appen earnings date
H2 202525 Feb, 2026
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Appen Limited, operates as an AI lifecycle company that collects and labels image, text, speech, audio, video, and other data used to build and enhance artificial intelligence systems. It offers a suite of human annotation services and solutions across the globe to support combinations of technologies that enable machine learning and artificial intelligence. The company's products include image annotations, video classification, text transcription and categorization, text re-writes, audio captioning and tagging, website relevance assessment annotations. Appen Limited was founded in 1996 and is headquartered in Chatswood, Australia.
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