Applied Digital (APLD) Total Liabilities (2021 - 2026)
Applied Digital (APLD) posted Total Liabilities of $10.1 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 645.5% from $1.35 billion a year earlier and up 23.1% from the prior quarter.
Applied Digital (APLD) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Applied Digital's Total Liabilities came in at $8.2 billion, up 497.8% from FY2025.
- Annual Total Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 241.6% (FY2021 to FY2026).
- In prior fiscal years, Applied Digital's Total Liabilities was $1.37 billion in FY2025 (+115.1%), $638.04 million in FY2024 (+228.4%), $194.28 million in FY2023 (+376.8%) and $40.75 million in FY2022 (+131.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 280.8% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 88.9% (fiscal Q3 2023) and 645.5% (fiscal Q1 2027) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $8.2 billion (Q4 2026), $4.67 billion (Q3 2026) and $3.78 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 308.89 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 118.81 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 29.91 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 6.23 Bn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 17.62 Bn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 3.56 Bn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 72.05 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 8.05 Bn |
| 10 | Applied Digital | 4.55 Bn | -3.63 Bn | 96.17 Mn | 10.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 10.10 Bn |
| May 31, 2026 | 8.20 Bn |
| Feb 28, 2026 | 4.67 Bn |
| Nov 30, 2025 | 3.78 Bn |
| Aug 31, 2025 | 1.35 Bn |
| May 31, 2025 | 1.37 Bn |
| Feb 28, 2025 | 1.25 Bn |
| Nov 30, 2024 | 1.11 Bn |
| Aug 31, 2024 | 695.89 Mn |
| May 31, 2024 | 638.04 Mn |
| Feb 29, 2024 | 524.68 Mn |
| Nov 30, 2023 | 325.00 Mn |
| Aug 31, 2023 | 221.21 Mn |
| May 31, 2023 | 194.28 Mn |
| Feb 28, 2023 | 136.21 Mn |
| Nov 30, 2022 | 95.47 Mn |
| Aug 31, 2022 | 69.02 Mn |
| May 31, 2022 | 40.75 Mn |
| Feb 28, 2022 | 72.10 Mn |
| May 31, 2021 | 17.64 Mn |
Applied Digital 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=APLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "APLD", "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=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();