Digital Turbine (APPS) Other Accumulated Expenses (2011 - 2026)
Digital Turbine's Other Accumulated Expenses came in at $14.67 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 61.5% from $38.12 million a year earlier and down 66.5% from the prior quarter.
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Analysis
Digital Turbine (APPS) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Digital Turbine's Other Accumulated Expenses data covers 61 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 21.1% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $38.12 million in FY2025 (+6.8%), $35.68 million in FY2024 (+66.9%), $21.38 million in FY2023 (-31.0%) and $30.96 million in FY2022 (+450.3%).
- The fiscal Q4 2026 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q4 2021.
- Year-over-year, Other Accumulated Expenses has declined for four consecutive quarters, with an average decline of 3.7% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2022 (growth of 499.8%), and the weakest in fiscal Q4 2026 (a decline of 61.5%).
- Business Quant data shows APPS's Other Accumulated Expenses at $43.8 million (Q3 2026), $35.32 million (Q2 2026) and $33.53 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 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 |
| 7 | Booking Holdings | 122.41 Bn | 55.46 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 |
|---|---|
| Mar 31, 2026 | 14.67 Mn |
| Dec 31, 2025 | 43.80 Mn |
| Sep 30, 2025 | 35.32 Mn |
| Jun 30, 2025 | 33.53 Mn |
| Mar 31, 2025 | 38.12 Mn |
| Dec 31, 2024 | 47.83 Mn |
| Sep 30, 2024 | 38.64 Mn |
| Jun 30, 2024 | 36.25 Mn |
| Mar 31, 2024 | 35.68 Mn |
| Dec 31, 2023 | 35.45 Mn |
| Sep 30, 2023 | 41.22 Mn |
| Jun 30, 2023 | 30.05 Mn |
| Mar 31, 2023 | 21.38 Mn |
| Dec 31, 2022 | 43.46 Mn |
| Sep 30, 2022 | 46.93 Mn |
| Jun 30, 2022 | 38.58 Mn |
| Mar 31, 2022 | 30.96 Mn |
| Dec 31, 2021 | 23.59 Mn |
| Sep 30, 2021 | 20.55 Mn |
| Jun 30, 2021 | 21.66 Mn |
API Access
Digital Turbine Other Accumulated 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=other-accumulated-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();