Digital Turbine (APPS) Other Non-Current Liabilities (2011 - 2026)
Digital Turbine (APPS) recorded Other Non-Current Liabilities of $4.84 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), down 57.5% from $11.38 million a year earlier and down 46.5% from the prior quarter.
Digital Turbine (APPS) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q3 2012, Digital Turbine's Other Non-Current Liabilities history includes 43 quarters.
- Annual Other Non-Current Liabilities has declined for four straight fiscal years, though with a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $11.38 million in FY2025 (-2.5%), $11.67 million in FY2024 (-16.2%), $13.92 million in FY2023 (-14.4%) and $16.27 million in FY2022 (+296.1%).
- The fiscal Q4 2026 figure is the lowest quarterly Other Non-Current Liabilities since fiscal Q4 2021.
- On a year-over-year basis, Other Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 16.3% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 296.1% in fiscal Q4 2022, against a decline of 57.5% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.04 million (Q3 2026), $9.65 million (Q2 2026) and $10.43 million (Q1 2026).
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
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.84 Mn |
| Dec 31, 2025 | 9.04 Mn |
| Sep 30, 2025 | 9.65 Mn |
| Jun 30, 2025 | 10.43 Mn |
| Mar 31, 2025 | 11.38 Mn |
| Dec 31, 2024 | 12.85 Mn |
| Sep 30, 2024 | 13.41 Mn |
| Jun 30, 2024 | 11.76 Mn |
| Mar 31, 2024 | 11.67 Mn |
| Dec 31, 2023 | 13.58 Mn |
| Sep 30, 2023 | 11.85 Mn |
| Jun 30, 2023 | 13.00 Mn |
| Mar 31, 2023 | 13.92 Mn |
| Dec 31, 2022 | 14.59 Mn |
| Sep 30, 2022 | 11.95 Mn |
| Jun 30, 2022 | 12.79 Mn |
| Mar 31, 2022 | 16.27 Mn |
| Dec 31, 2021 | 17.54 Mn |
| Sep 30, 2021 | 18.53 Mn |
| Jun 30, 2021 | 20.22 Mn |
Digital Turbine Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();