Applied Digital (APLD) Interest Expenses (2021 - 2026)
Applied Digital (APLD) recorded 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) Interest Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Applied Digital's 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 was $29.52 million, down 8.2% from FY2025.
- Annual Interest Expenses has a five-year compound annual growth rate of 162.7% (FY2021 to FY2026).
- Across earlier fiscal years, 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 Interest Expenses in data going back to fiscal Q4 2021.
- On a year-over-year basis, Interest Expenses rose in six of the last seven quarters, with growth averaging 200.0%.
- Peak year-over-year performance for 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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,949.40 Bn | 3,872.56 Bn | 60.48 Bn | 839.00 Mn |
| 2 | International Business Machines | 225.91 Bn | 176.72 Bn | 9.91 Bn | 486.00 Mn |
| 3 | Cloudflare | 104.69 Bn | 88.22 Bn | 499.52 Mn | 3.09 Mn |
| 4 | Equinix | 97.67 Bn | 86.24 Bn | 1.40 Bn | 151.00 Mn |
| 5 | Nebius | 41.73 Bn | 15.17 Bn | 448.70 Mn | -119.10 Mn |
| 6 | CoreWeave | 34.60 Bn | 21.69 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.86 Bn | 25.07 Bn | 384.60 Mn | 19.20 Mn |
| 8 | Nutanix | 18.21 Bn | 9.89 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.19 Bn | 9.76 Bn | 828.20 Mn | 37.40 Mn |
| 10 | Applied Digital | 5.78 Bn | -2.41 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 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=interest-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();