Digital Turbine (APPS) Non-Current Debt (2011 - 2026)
Digital Turbine's Non-Current Debt was -$150,000 in fiscal Q4 2016 (quarter ended Mar 31, 2016).
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Analysis
Digital Turbine (APPS) Non-Current Debt (2011 - 2026) Analysis & Trends
For FY2016 (ended Mar 31, 2016), Non-Current Debt at Digital Turbine came in at -$600,000.
- In earlier fiscal years, Non-Current Debt was -$3.66 million in FY2014.
- Per Business Quant data, APPS's Non-Current Debt in the three fiscal quarters before Q4 2016 was -$150,000 (Q3 2016), -$150,000 (Q2 2016) and -$150,000 (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 98.17 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 83.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 11.83 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 8.25 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 10.73 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 18.18 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 3.52 Bn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | 353.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 353.93 Mn |
| Dec 31, 2025 | 350.28 Mn |
| Sep 30, 2025 | 393.75 Mn |
| Jun 30, 2025 | 400.50 Mn |
| Mar 31, 2025 | 408.69 Mn |
| Dec 31, 2024 | 408.15 Mn |
| Sep 30, 2024 | 407.62 Mn |
| Jun 30, 2024 | 393.79 Mn |
| Mar 31, 2024 | 383.49 Mn |
| Dec 31, 2023 | 374.03 Mn |
| Sep 30, 2023 | 383.81 Mn |
| Jun 30, 2023 | 405.73 Mn |
| Mar 31, 2023 | 410.52 Mn |
| Dec 31, 2022 | 422.31 Mn |
| Sep 30, 2022 | 447.19 Mn |
| Jun 30, 2022 | 472.99 Mn |
| Mar 31, 2022 | 520.79 Mn |
| Dec 31, 2021 | 341.59 Mn |
| Sep 30, 2021 | 244.00 Mn |
| Jun 30, 2021 | 233.83 Mn |
API Access
Digital Turbine Non-Current Debt 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=non-current-debt&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();