Applied Digital (APLD) Non Operating Interest Expenses (2021 - 2026)
Applied Digital (APLD) recorded Non Operating Interest Expenses of $77.38 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 865.7% from $8.01 million a year earlier and up 627.8% from the prior quarter.
Applied Digital (APLD) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Applied Digital's Non Operating Interest Expenses came in at $97.11 million as of Aug 31, 2026, up 243.3% year-over-year; for FY2026 (ended May 31, 2026), it came in at $29.52 million, down 8.2% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 162.7% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $32.14 million in FY2025 (+16.8%), $27.52 million in FY2024, $2.01 million in FY2023 and $112,000 in FY2022 (-52.5%).
- The fiscal Q1 2027 figure is the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q4 2021.
- On a year-over-year basis, Non Operating Interest Expenses rose in six of the last seven quarters, with growth averaging 200.0%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 865.7% in fiscal Q1 2027, against a decline of 53.0% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.63 million (Q4 2026), -$2.39 million (Q3 2026) and $11.48 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,892.50 Bn | 3,815.66 Bn | 60.48 Bn | 839.00 Mn |
| 2 | International Business Machines | 238.73 Bn | 189.54 Bn | 9.91 Bn | 486.00 Mn |
| 3 | Cloudflare | 114.72 Bn | 98.25 Bn | 499.52 Mn | 3.09 Mn |
| 4 | Equinix | 94.20 Bn | 82.76 Bn | 1.40 Bn | 151.00 Mn |
| 5 | Nebius | 38.48 Bn | 11.91 Bn | 448.70 Mn | -119.10 Mn |
| 6 | CoreWeave | 29.87 Bn | 16.96 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.08 Bn | 24.44 Bn | 393.20 Mn | 21.20 Mn |
| 8 | Nutanix | 18.92 Bn | 10.61 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.68 Bn | 10.25 Bn | 828.20 Mn | 37.40 Mn |
| 10 | Applied Digital | 5.30 Bn | -2.88 Bn | 96.17 Mn | 77.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 77.38 Mn |
| May 31, 2026 | 10.63 Mn |
| Feb 28, 2026 | -2.39 Mn |
| Nov 30, 2025 | 11.48 Mn |
| Aug 31, 2025 | 8.01 Mn |
| May 31, 2025 | 8.45 Mn |
| Feb 28, 2025 | 8.90 Mn |
| Nov 30, 2024 | 2.93 Mn |
| Aug 31, 2024 | 2.96 Mn |
| May 31, 2024 | 18.00 Mn |
| Feb 29, 2024 | 4.77 Mn |
| Nov 30, 2023 | 2.62 Mn |
| Aug 31, 2023 | 2.13 Mn |
| May 31, 2023 | 945,000.00 |
| Feb 28, 2023 | 352,000.00 |
| Nov 30, 2022 | 364,000.00 |
| Aug 31, 2022 | 356,000.00 |
| May 31, 2022 | 112,000.00 |
| May 31, 2021 | 13,000.00 |
Applied Digital Non Operating Interest 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=non-operating-interest-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();