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Digital Turbine Reports Fiscal 2025 Fourth Quarter and Fiscal Year 2025 Financial Results
Prnewswireยท 2025-06-16 20:05
Financial Performance - The company reported a GAAP net loss of $18.8 million for the fourth quarter of fiscal 2025, a significant improvement from a loss of $236.5 million in the same quarter of fiscal 2024 [5][10] - Non-GAAP adjusted net income for the fourth quarter was $10.8 million, compared to $12.6 million in the fourth quarter of fiscal 2024 [6][10] - Total revenue for the fourth quarter of fiscal 2025 was $119.2 million, reflecting a year-over-year growth of 6% from $112.2 million in the fourth quarter of fiscal 2024 [4][10] - For the full fiscal year 2025, total revenue reached $490.5 million, down from $544.5 million in fiscal 2024 [7][10] EBITDA and Cash Flow - Non-GAAP adjusted EBITDA for the fourth quarter of fiscal 2025 was $20.5 million, representing a year-over-year growth of 66% from $12.3 million in the fourth quarter of fiscal 2024 [6][10] - Non-GAAP adjusted EBITDA for the full fiscal year 2025 totaled $72.3 million, down from $92.4 million in fiscal 2024 [9][10] - Non-GAAP free cash flow for the fourth quarter was $5.5 million, a recovery from a negative cash flow of $15.6 million in the same quarter of the previous year [10][20] Revenue Segmentation - Revenue from On Device Solutions for the fourth quarter was $86.8 million, an increase of 11% year-over-year, while App Growth Platform revenue was $33.3 million, a decrease of 3% [37] - For the full fiscal year 2025, On Device Solutions revenue was $341.6 million, down 8% from $370.1 million in fiscal 2024, and App Growth Platform revenue was $153.2 million, down 14% from $178.8 million [37] Management Commentary - The CEO highlighted improved execution and solid year-over-year growth in both revenue and EBITDA, attributing this to strong advertiser demand and profit margin expansion from a transformation program [3] - The company expressed optimism for continued growth in fiscal 2026, driven by advancements in AI and machine learning to optimize first-party data [3][11]