Digital Turbine (APPS) Revenue (2010 - 2025)
Digital Turbine (APPS) posted Revenue of $151.4 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 12.4% from $134.64 million a year earlier and up 7.9% from the prior quarter.
Digital Turbine (APPS) Revenue (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Revenue at Digital Turbine was $541.85 million, up 12.1% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $490.51 million, down 9.9% from FY2024.
- Annual Revenue has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 28.7% (FY2020 to FY2025).
- In prior fiscal years, Digital Turbine's Revenue was $544.48 million in FY2024 (-18.2%), $665.92 million in FY2023 (-10.9%), $747.6 million in FY2022 (+138.4%) and $313.58 million in FY2021 (+126.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Revenue since fiscal Q3 2023.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with an average decline of 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q1 2022, with growth of 167.9%; the weakest was fiscal Q3 2023, with a decline of 25.1%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $140.38 million (Q2 2026), $130.93 million (Q1 2026) and $119.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 16.56 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.92 Bn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 151.40 Mn |
| Sep 30, 2025 | 140.38 Mn |
| Jun 30, 2025 | 130.93 Mn |
| Mar 31, 2025 | 119.15 Mn |
| Dec 31, 2024 | 134.64 Mn |
| Sep 30, 2024 | 118.73 Mn |
| Jun 30, 2024 | 117.99 Mn |
| Mar 31, 2024 | 112.22 Mn |
| Dec 31, 2023 | 142.63 Mn |
| Sep 30, 2023 | 143.26 Mn |
| Jun 30, 2023 | 146.37 Mn |
| Mar 31, 2023 | 140.12 Mn |
| Dec 31, 2022 | 162.31 Mn |
| Sep 30, 2022 | 174.86 Mn |
| Jun 30, 2022 | 188.63 Mn |
| Mar 31, 2022 | 184.14 Mn |
| Dec 31, 2021 | 216.82 Mn |
| Sep 30, 2021 | 188.57 Mn |
| Jun 30, 2021 | 158.08 Mn |
| Mar 31, 2021 | 95.08 Mn |
Digital Turbine Revenue 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=revenue&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();