Digital Turbine (APPS) Total Liabilities (2011 - 2026)
Digital Turbine's Total Liabilities was $641.32 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), down 1.4% from $650.72 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Digital Turbine (APPS) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Digital Turbine has reported Total Liabilities for 61 quarters.
- Total Liabilities has now declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 41.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $650.72 million in FY2025 (-0.1%), $651.61 million in FY2024 (-1.5%), $661.36 million in FY2023 (-29.9%) and $943.94 million in FY2022 (+719.0%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Liabilities since fiscal Q4 2021.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2022 (growth of 798.8%); the worst was fiscal Q4 2023 (a decline of 29.9%).
- Per Business Quant data, APPS's Total Liabilities in the three fiscal quarters before Q4 2026 was $663.57 million (Q3 2026), $670.54 million (Q2 2026) and $657.89 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | 641.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 641.32 Mn |
| Dec 31, 2025 | 663.57 Mn |
| Sep 30, 2025 | 670.54 Mn |
| Jun 30, 2025 | 657.89 Mn |
| Mar 31, 2025 | 650.72 Mn |
| Dec 31, 2024 | 676.15 Mn |
| Sep 30, 2024 | 662.12 Mn |
| Jun 30, 2024 | 664.24 Mn |
| Mar 31, 2024 | 651.61 Mn |
| Dec 31, 2023 | 660.94 Mn |
| Sep 30, 2023 | 643.33 Mn |
| Jun 30, 2023 | 662.57 Mn |
| Mar 31, 2023 | 661.36 Mn |
| Dec 31, 2022 | 747.03 Mn |
| Sep 30, 2022 | 790.35 Mn |
| Jun 30, 2022 | 825.87 Mn |
| Mar 31, 2022 | 943.94 Mn |
| Dec 31, 2021 | 989.79 Mn |
| Sep 30, 2021 | 926.41 Mn |
| Jun 30, 2021 | 921.03 Mn |
API Access
Digital Turbine Total 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-liabilities&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();