Digital Turbine (APPS) Enterprise Value (2010 - 2026)
Digital Turbine (APPS) posted Enterprise Value of $306.53 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 23.5% from $248.18 million a year earlier but down 45.0% from the prior quarter.
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Analysis
Digital Turbine (APPS) Enterprise Value (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Digital Turbine's Enterprise Value came in at $267.26 million, up 7.7% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of -48.2% (FY2021 to FY2026).
- In prior fiscal years, Digital Turbine's Enterprise Value was $248.18 million in FY2025 (+6.1%), $233.95 million in FY2024 (-79.8%), $1.16 billion in FY2023 (-72.0%) and $4.13 billion in FY2022 (-42.6%).
- Quarterly Enterprise Value has run from a low of $134.45 million in fiscal Q1 2025 to a high of $7.17 billion in fiscal Q1 2022 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last five quarters, with growth averaging 74.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q1 2022, with growth of 562.7%; the weakest was fiscal Q1 2025, with a decline of 84.6%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $557.65 million (Q3 2026), $675.93 million (Q2 2026) and $602.55 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 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 |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 306.53 Mn |
| Dec 31, 2025 | 557.65 Mn |
| Sep 30, 2025 | 675.93 Mn |
| Jun 30, 2025 | 602.55 Mn |
| Mar 31, 2025 | 248.18 Mn |
| Dec 31, 2024 | 141.86 Mn |
| Sep 30, 2024 | 285.05 Mn |
| Jun 30, 2024 | 134.45 Mn |
| Mar 31, 2024 | 233.95 Mn |
| Dec 31, 2023 | 648.17 Mn |
| Sep 30, 2023 | 552.94 Mn |
| Jun 30, 2023 | 872.10 Mn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 1.43 Bn |
| Sep 30, 2022 | 1.35 Bn |
| Jun 30, 2022 | 1.64 Bn |
| Mar 31, 2022 | 4.13 Bn |
| Dec 31, 2021 | 5.79 Bn |
| Sep 30, 2021 | 6.55 Bn |
| Jun 30, 2021 | 7.17 Bn |
API Access
Digital Turbine Enterprise Value 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=enterprise-value&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();