Digital Turbine (APPS) Change in Accrued Expenses (2010 - 2026)
Digital Turbine (APPS) posted Change in Accrued Expenses of -$10.06 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $44.49 million a year earlier.
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Analysis
Digital Turbine (APPS) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accrued Expenses at Digital Turbine was -$2.72 million; for FY2026 (ended Mar 31, 2026), it came in at $51.83 million.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of 14.4% (FY2021 to FY2026).
- In prior fiscal years, Digital Turbine's Change in Accrued Expenses was $1.42 million in FY2025, -$34.96 million in FY2024, -$26 million in FY2023 and -$43.91 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Change in Accrued Expenses since fiscal Q4 2024.
- On a year-over-year basis, Change in Accrued Expenses increased in 1 of the last four quarters, with an average decline of 9.9%.
- According to Business Quant data, Change in Accrued Expenses for the three prior fiscal quarters was -$6.91 million (Q4 2026), $13.69 million (Q3 2026) and $552,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | -1.17 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 1.94 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 85.51 Mn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | - |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 880.00 Mn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 20.90 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | -1.61 Bn |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn | -10.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.06 Mn |
| Mar 31, 2026 | -6.91 Mn |
| 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 |
API Access
Digital Turbine Change in Accrued 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();