Applied Digital (APLD) Change in Accured Expenses (2021 - 2026)
Applied Digital (APLD) posted Change in Accured Expenses of $106.7 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 272.0% from $28.68 million a year earlier and up 156.4% from the prior quarter.
Powered by 
Analysis
Applied Digital (APLD) Change in Accured Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Change in Accured Expenses at Applied Digital was $184.24 million; for FY2026 (ended May 31, 2026), it came in at $106.22 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 236.0% (FY2021 to FY2026).
- In prior fiscal years, Applied Digital's Change in Accured Expenses was -$12.13 million in FY2025, $21.6 million in FY2024 (+188.6%), $7.49 million in FY2023 (+16.6%) and $6.42 million in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2021.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $41.61 million (Q4 2026), $43.59 million (Q3 2026) and -$7.66 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 39.19 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | -18.00 Mn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 23.10 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | -656.00 Mn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | -15.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 97.90 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | -7.60 Mn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 106.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 106.70 Mn |
| May 31, 2026 | 41.61 Mn |
| Feb 28, 2026 | 43.59 Mn |
| Nov 30, 2025 | -7.66 Mn |
| Aug 31, 2025 | 28.68 Mn |
| May 31, 2025 | 192,000.00 |
| Feb 28, 2025 | -9.80 Mn |
| Nov 30, 2024 | -12.25 Mn |
| Aug 31, 2024 | 9.74 Mn |
| May 31, 2024 | 15.79 Mn |
| Feb 29, 2024 | 7.73 Mn |
| Nov 30, 2023 | -4.03 Mn |
| Aug 31, 2023 | 2.11 Mn |
| May 31, 2023 | 5.92 Mn |
| Feb 28, 2023 | 463,000.00 |
| Nov 30, 2022 | 1.10 Mn |
| May 31, 2022 | 1.94 Mn |
| Feb 28, 2022 | -775,000.00 |
| Nov 30, 2021 | 4.89 Mn |
| Aug 31, 2021 | 368,000.00 |
API Access
Applied Digital Change in Accured Expenses 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=change-in-accured-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();