Digital Turbine (APPS) Capital Expenditures (2010 - 2025)
Digital Turbine's Capital Expenditures was $7.79 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 9.3% from $7.13 million a year earlier and up 0.2% from the prior quarter.
Digital Turbine (APPS) Capital Expenditures (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Digital Turbine's Capital Expenditures was $30.12 million through Dec 31, 2025, up 9.8% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $27.48 million, up 13.2% from FY2024.
- Capital Expenditures has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 41.5% (FY2020 to FY2025).
- In earlier fiscal years, Capital Expenditures was $24.28 million in FY2024 (+1.8%), $23.86 million in FY2023 (+2.5%), $23.28 million in FY2022 (+152.9%) and $9.2 million in FY2021 (+90.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Capital Expenditures in data going back to fiscal Q1 2011.
- Compared with a year earlier, Capital Expenditures has increased for six straight quarters, with growth averaging 23.9% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q4 2022 (growth of 185.4%); the worst was fiscal Q3 2024 (a decline of 45.2%).
- Per Business Quant data, APPS's Capital Expenditures in the three fiscal quarters before Q3 2026 was $7.77 million (Q2 2026), $7.62 million (Q1 2026) and $6.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 44.92 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.12 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 218.64 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 4.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 70.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 76.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | - |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.79 Mn |
| Sep 30, 2025 | 7.77 Mn |
| Jun 30, 2025 | 7.62 Mn |
| Mar 31, 2025 | 6.94 Mn |
| Dec 31, 2024 | 7.13 Mn |
| Sep 30, 2024 | 7.48 Mn |
| Jun 30, 2024 | 5.93 Mn |
| Mar 31, 2024 | 6.90 Mn |
| Dec 31, 2023 | 3.11 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 7.28 Mn |
| Mar 31, 2023 | 5.26 Mn |
| Dec 31, 2022 | 5.67 Mn |
| Sep 30, 2022 | 6.52 Mn |
| Jun 30, 2022 | 6.41 Mn |
| Mar 31, 2022 | 7.59 Mn |
| Dec 31, 2021 | 5.28 Mn |
| Sep 30, 2021 | 6.05 Mn |
| Jun 30, 2021 | 4.36 Mn |
| Mar 31, 2021 | 2.66 Mn |
Digital Turbine Capital Expenditures 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=capital-expenditures&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();