Applied Digital (APLD) Other Operating Expenses (2021 - 2026)
Applied Digital's (APLD) quarterly Other Operating Expenses came in at -$59.6 million in Q1 2026, down 3306.62% quarter-over-quarter from -$1.8 million in Q3 2025.
Applied Digital (APLD) Other Operating Expenses (2021 - 2026) Analysis & Trends
Applied Digital (APLD) has reported Other Operating Expenses for 6 consecutive years, with -$59.6 million the latest figure, recorded in Q1 2026.
- For the quarter ending Q1 2026, Other Operating Expenses changed N/A year-over-year to -$59.6 million; the trailing twelve-month figure through May 2026 stood at -$61.4 million (down 349.44% YoY), and the FY2026 full-year result was -$59.6 million, down 342.32% from the prior year.
- Other Operating Expenses declined to -$59.6 million in Q1 2026 per APLD's latest filing, from -$1.8 million in the prior quarter.
- Across five years, Other Operating Expenses topped out at $24.8 million in Q3 2024 and bottomed at -$59.6 million in Q1 2026.
- Historically, Other Operating Expenses has averaged -$5.6 million across 5 years, with a median of -$500000.0 in 2022.
- The sharpest annual moves came in 2022 and 2024: Other Operating Expenses plunged 75400.0% in 2022, then soared 1178.61% in 2024.
- Over 5 years, Other Operating Expenses stood at -$755000.0 in 2022, then jumped by 89.4% to -$80000.0 in 2023, then tumbled by 140.0% to -$192000.0 in 2024, then plunged by 811.98% to -$1.8 million in 2025, then slumped by 3306.62% to -$59.6 million in 2026.
- According to Business Quant data, Other Operating Expenses over the past three periods registered -$59.6 million, -$1.8 million, and -$192000.0 for Q1 2026, Q3 2025, and Q4 2024 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn |
| 10 | Vulcan Infrastructure & Power | 454.82 Mn | 451.62 Mn | -1.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | -59.65 Mn |
| Aug 31, 2025 | -1.75 Mn |
| Nov 30, 2024 | -192,000.00 |
| Aug 31, 2024 | 24.81 Mn |
| May 31, 2024 | 6.31 Mn |
| Feb 29, 2024 | -21.72 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();