Digital Turbine (APPS) EBITDA (2010 - 2026)
Digital Turbine (APPS) recorded EBITDA of $41.47 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 109.1% from $19.83 million a year earlier and up 24.9% from the prior quarter.
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Analysis
Digital Turbine (APPS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Digital Turbine's EBITDA came in at $141.06 million as of Jun 30, 2026, up 210.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $119.43 million, up 289.4% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $30.67 million in FY2025, -$290.48 million in FY2024, $127.24 million in FY2023 (-15.0%) and $149.69 million in FY2022 (+125.4%).
- Quarterly EBITDA has ranged from -$186.92 million in fiscal Q4 2024 to $45.1 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 220.9% over the last six quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 471.2% 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 $33.19 million (Q4 2026), $42.23 million (Q3 2026) and $24.18 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 48.95 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 20.14 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 8.80 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 | 575.00 Mn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 1.67 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 1.74 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 844.41 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 3.60 Bn |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn | 41.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.47 Mn |
| Mar 31, 2026 | 33.19 Mn |
| Dec 31, 2025 | 42.23 Mn |
| Sep 30, 2025 | 24.18 Mn |
| Jun 30, 2025 | 19.83 Mn |
| Mar 31, 2025 | 11.43 Mn |
| Dec 31, 2024 | 7.39 Mn |
| Sep 30, 2024 | 6.27 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 |
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();