Digital Turbine (APPS) Other Operating Expenses (2010 - 2026)
Digital Turbine (APPS) reported Other Operating Expenses of $38.89 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.6% from $34.54 million a year earlier and up 2.8% from the prior quarter.
Digital Turbine (APPS) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Turbine's Other Operating Expenses came in at $149.79 million, up 10.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $145.45 million, up 7.2% from FY2025.
- Other Operating Expenses has a five-year compound annual growth rate of 28.3% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $135.65 million in FY2025 (-72.2%), $487.08 million in FY2024 (+211.8%), $156.23 million in FY2023 (+7.1%) and $145.87 million in FY2022 (+249.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Other Operating Expenses since fiscal Q4 2024.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with an average decline of 16.1% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q4 2024 (growth of 495.0%); the low point was fiscal Q4 2025 (a decline of 85.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $37.82 million (Q4 2026), $36.42 million (Q3 2026) and $36.67 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn |
| 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 |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.35 Mn |
| Dec 31, 2025 | 231,000.00 |
| Jun 30, 2025 | 82.53 Mn |
| Dec 31, 2024 | 500,000.00 |
| Sep 30, 2024 | -200,000.00 |
| Jun 30, 2024 | 79.85 Mn |
| Sep 30, 2023 | -372,000.00 |
| Jun 30, 2023 | 94.78 Mn |
| Jun 30, 2022 | 112.34 Mn |
| Mar 31, 2022 | 800,000.00 |
| Dec 31, 2021 | 18.20 Mn |
| Sep 30, 2021 | 22.09 Mn |
| Jun 30, 2021 | 102.00 Mn |
| Mar 31, 2021 | 332,000.00 |
| Dec 31, 2020 | 4.66 Mn |
| Sep 30, 2020 | 10.76 Mn |
| Jun 30, 2020 | 37.18 Mn |
| Mar 31, 2020 | 27.73 Mn |
| Dec 31, 2019 | 24.79 Mn |
| Sep 30, 2019 | 22.93 Mn |
Digital Turbine Other Operating 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-operating-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();