Digital Turbine (APPS) Cash & Equivalents (2010 - 2026)
Digital Turbine's Cash & Equivalents came in at $37.96 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 5.3% from $40.08 million a year earlier and down 6.1% from the prior quarter.
Digital Turbine (APPS) Cash & Equivalents (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Digital Turbine's Cash & Equivalents data covers 64 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $40.08 million in FY2025 (+19.3%), $33.61 million in FY2024 (-55.5%), $75.56 million in FY2023 (-40.6%) and $127.16 million in FY2022 (+313.2%).
- The five-year range for quarterly Cash & Equivalents is $32.77 million (fiscal Q2 2025) to $127.16 million (fiscal Q4 2022).
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 8.5%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2022 (growth of 344.0%), and the weakest in fiscal Q4 2024 (a decline of 55.5%).
- Business Quant data shows APPS's Cash & Equivalents at $40.42 million (Q3 2026), $39.28 million (Q2 2026) and $34.13 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Digital Turbine | 1.33 Bn | 1.18 Bn | - | 37.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 37.96 Mn |
| Dec 31, 2025 | 40.42 Mn |
| Sep 30, 2025 | 39.28 Mn |
| Jun 30, 2025 | 34.13 Mn |
| Mar 31, 2025 | 40.08 Mn |
| Dec 31, 2024 | 35.31 Mn |
| Sep 30, 2024 | 32.77 Mn |
| Jun 30, 2024 | 35.73 Mn |
| Mar 31, 2024 | 33.61 Mn |
| Dec 31, 2023 | 49.47 Mn |
| Sep 30, 2023 | 58.65 Mn |
| Jun 30, 2023 | 58.56 Mn |
| Mar 31, 2023 | 75.56 Mn |
| Dec 31, 2022 | 79.31 Mn |
| Sep 30, 2022 | 82.65 Mn |
| Jun 30, 2022 | 89.29 Mn |
| Mar 31, 2022 | 127.16 Mn |
| Dec 31, 2021 | 115.05 Mn |
| Sep 30, 2021 | 95.52 Mn |
| Jun 30, 2021 | 83.13 Mn |
Digital Turbine Cash & Equivalents 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=cash-and-equivalents&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();