Digital Turbine (APPS) Total Non-Current Liabilities (2011 - 2026)
Digital Turbine (APPS) reported Total Non-Current Liabilities of $636.48 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 0.4% from $639.35 million a year earlier and down 2.8% from the prior quarter.
Digital Turbine (APPS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q3 2012, Digital Turbine's Total Non-Current Liabilities record includes 47 quarters.
- Total Non-Current Liabilities has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 41.8% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $639.35 million in FY2025 (-0.1%), $639.94 million in FY2024 (-1.2%), $647.44 million in FY2023 (-30.2%) and $927.67 million in FY2022 (+734.6%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 0.6%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q1 2022 (growth of 828.0%); the low point was fiscal Q4 2023 (a decline of 30.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $654.53 million (Q3 2026), $660.89 million (Q2 2026) and $647.46 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | 636.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 636.48 Mn |
| Dec 31, 2025 | 654.53 Mn |
| Sep 30, 2025 | 660.89 Mn |
| Jun 30, 2025 | 647.46 Mn |
| Mar 31, 2025 | 639.35 Mn |
| Dec 31, 2024 | 663.29 Mn |
| Sep 30, 2024 | 648.71 Mn |
| Jun 30, 2024 | 652.48 Mn |
| Mar 31, 2024 | 639.94 Mn |
| Dec 31, 2023 | 647.35 Mn |
| Sep 30, 2023 | 631.47 Mn |
| Jun 30, 2023 | 649.58 Mn |
| Mar 31, 2023 | 647.44 Mn |
| Dec 31, 2022 | 732.44 Mn |
| Sep 30, 2022 | 778.40 Mn |
| Jun 30, 2022 | 813.08 Mn |
| Mar 31, 2022 | 927.67 Mn |
| Dec 31, 2021 | 972.25 Mn |
| Sep 30, 2021 | 907.89 Mn |
| Jun 30, 2021 | 900.82 Mn |
Digital Turbine Total 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=total-non-current-liabilities&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();