Digital Turbine (APPS) EBITDA (2010 - 2025)
Digital Turbine (APPS) recorded EBITDA of $38.22 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), up 457.1% from $6.86 million a year earlier and up 78.6% from the prior quarter.
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Analysis
Digital Turbine (APPS) EBITDA (2010 - 2025) Analysis & Trends
On a TTM basis, Digital Turbine's EBITDA came in at $89.73 million as of Dec 31, 2025; for FY2025 (ended Mar 31, 2025), it came in at $28.84 million.
- Annual EBITDA has a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at -$290.58 million in FY2024, $127.24 million in FY2023 (-15.0%), $149.69 million in FY2022 (+125.7%) and $66.32 million in FY2021 (+326.4%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA since fiscal Q2 2023.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 181.4% over the last five quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 457.1% in fiscal Q3 2026, against a decline of 73.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $21.4 million (Q2 2026), $18.68 million (Q1 2026) and $11.43 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 38.22 Mn |
| Sep 30, 2025 | 21.40 Mn |
| Jun 30, 2025 | 18.68 Mn |
| Mar 31, 2025 | 11.43 Mn |
| Dec 31, 2024 | 6.86 Mn |
| Sep 30, 2024 | 5.81 Mn |
| Jun 30, 2024 | 4.73 Mn |
| Mar 31, 2024 | -186.92 Mn |
| Dec 31, 2023 | 11.74 Mn |
| Sep 30, 2023 | -131.95 Mn |
| Jun 30, 2023 | 16.54 Mn |
| Mar 31, 2023 | 11.78 Mn |
| Dec 31, 2022 | 29.93 Mn |
| Sep 30, 2022 | 41.16 Mn |
| Jun 30, 2022 | 44.36 Mn |
| Mar 31, 2022 | 43.93 Mn |
| Dec 31, 2021 | 45.10 Mn |
| Sep 30, 2021 | 32.86 Mn |
| Jun 30, 2021 | 27.80 Mn |
| Mar 31, 2021 | 18.01 Mn |
API Access
Digital Turbine EBITDA 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=ebitda&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();