Australia · Delayed Price · Currency is AUD Appen Earnings Call Transcripts
Fiscal Year 2026
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FY 2025 saw revenue and EBITDA growth, driven by generative AI and strong China performance. The board emphasized governance, diversity, and operational efficiency, with no dividend declared. Strategic priorities for FY 2026 include data quality, customer growth, and AI-driven efficiencies.
Fiscal Year 2025
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FY 2025 saw 4.5% revenue growth (ex-Google), margin improvement, and strong Generative AI-driven expansion, especially in China. FY 2026 guidance targets $270–$300 million revenue and 5%–10% EBITDA margin, with continued focus on operational efficiency and AI market leadership.
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H1 revenue grew 2% year-over-year to $102.1 million, with China up 67% and strong generative AI project momentum. Cost efficiencies of $10 million and $4 million OPEX savings are underway, with FY 2025 revenue expected at the low end of guidance and positive EBITDA reaffirmed.
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The meeting highlighted a return to profitability, strong growth in China and generative AI, and ongoing cost management. Strategic priorities for 2025 include technology innovation, operational efficiency, and revenue diversification, with ambitious long-term growth targets.
Fiscal Year 2024
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FY24 saw a return to profitability with $3.5M underlying EBITDA, driven by 16% revenue growth (ex-Google), 71% growth in China, and a 26% reduction in OPEX. Generative AI projects surged, now 28% of H2 revenue, and 2025 guidance remains confident despite expected revenue variability.
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Announced a AUD 50 million capital raise and a share purchase plan to support working capital for generative AI projects. Q3 2024 delivered 34.6% revenue growth (ex-Google) and a return to cash EBITDA profitability, with positive momentum expected to continue.
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Revenue excluding a major contract loss returned to growth, driven by generative AI projects and strong performance in China. Cost reductions improved profitability, with positive momentum expected in H2 FY 2024, though revenue may remain volatile as generative AI projects scale.