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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 7.99 Bn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 10.10 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();