Applied Digital (APLD) Other Operating Expenses (2021 - 2026)
Applied Digital (APLD) posted Other Operating Expenses of $260.27 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 344.8% from $58.51 million a year earlier and up 19.2% from the prior quarter.
Applied Digital (APLD) Other Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Other Operating Expenses at Applied Digital was $711.69 million; for FY2024 (ended May 31, 2024), it came in at -$2.38 million.
- In prior fiscal years, Applied Digital's Other Operating Expenses was -$1 million in FY2022 and -$1,000 in FY2021.
- The fiscal Q1 2027 figure stands as the highest quarterly Other Operating Expenses in data going back to fiscal Q4 2021.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $218.29 million (Q4 2026), $132.58 million (Q3 2026) and $100.55 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,901.93 Bn | 3,825.09 Bn | 60.48 Bn |
| 2 | International Business Machines | 234.45 Bn | 185.27 Bn | 9.91 Bn |
| 3 | Cloudflare | 109.38 Bn | 92.90 Bn | 499.52 Mn |
| 4 | Equinix | 93.13 Bn | 81.69 Bn | 1.40 Bn |
| 5 | Nebius | 38.92 Bn | 12.35 Bn | 448.70 Mn |
| 6 | CoreWeave | 31.00 Bn | 18.09 Bn | 1.70 Bn |
| 7 | Verisign | 27.30 Bn | 24.51 Bn | 384.60 Mn |
| 8 | Nutanix | 18.61 Bn | 10.30 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.72 Bn | 10.29 Bn | 828.20 Mn |
| 10 | Applied Digital | 5.55 Bn | -2.63 Bn | 96.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 260.27 Mn |
| May 31, 2026 | 218.29 Mn |
| Feb 28, 2026 | 132.58 Mn |
| Nov 30, 2025 | 100.55 Mn |
| Aug 31, 2025 | 58.51 Mn |
| Nov 30, 2023 | -80,000.00 |
| Aug 31, 2023 | -2.30 Mn |
| May 31, 2022 | -755,000.00 |
| Feb 28, 2022 | -245,000.00 |
| Nov 30, 2021 | -26,000.00 |
| Aug 31, 2021 | 12.34 Mn |
| May 31, 2021 | -1,000.00 |
Applied Digital Other Operating 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=other-operating-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();