Digital Turbine (APPS) Change in Accured Expenses (2010 - 2025)
Digital Turbine (APPS) posted Change in Accured Expenses of $13.69 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 131.6% from $5.91 million a year earlier.
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Analysis
Digital Turbine (APPS) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Change in Accured Expenses at Digital Turbine was $58.77 million; for FY2025 (ended Mar 31, 2025), it came in at $1.42 million.
- In prior fiscal years, Digital Turbine's Change in Accured Expenses was -$34.96 million in FY2024, -$26 million in FY2023, -$43.91 million in FY2022 and $26.41 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$46.96 million in fiscal Q1 2022 to a high of $44.49 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with an average decline of 9.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $552,000 (Q2 2026), $44.49 million (Q1 2026) and $39,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | - |
| 10 | Digital Turbine | 1.33 Bn | 1.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.69 Mn |
| Sep 30, 2025 | 552,000.00 |
| Jun 30, 2025 | 44.49 Mn |
| Mar 31, 2025 | 39,000.00 |
| Dec 31, 2024 | 5.91 Mn |
| Sep 30, 2024 | 3.03 Mn |
| Jun 30, 2024 | -7.56 Mn |
| Mar 31, 2024 | -31.51 Mn |
| Dec 31, 2023 | 10.93 Mn |
| Sep 30, 2023 | 5.35 Mn |
| Jun 30, 2023 | -19.72 Mn |
| Mar 31, 2023 | -5.68 Mn |
| Dec 31, 2022 | -3.46 Mn |
| Sep 30, 2022 | -5.28 Mn |
| Jun 30, 2022 | -11.59 Mn |
| Mar 31, 2022 | -10.40 Mn |
| Dec 31, 2021 | 12.19 Mn |
| Sep 30, 2021 | 1.26 Mn |
| Jun 30, 2021 | -46.96 Mn |
| Mar 31, 2021 | 9.64 Mn |
API Access
Digital Turbine Change in Accured Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "APPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();