Terawulf (WULF) Other Operating Expenses (2021 - 2026)
Terawulf's Other Operating Expenses came in at $39.91 million for Q1 2026, up 41.0% from $28.32 million a year earlier.
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Analysis
Terawulf (WULF) Other Operating Expenses (2021 - 2026) Analysis & Trends
For FY2025, Terawulf's Other Operating Expenses was $10.4 million.
- Other Operating Expenses carries a four-year compound annual growth rate of -14.7% (FY2021 to FY2025).
- Going back by year, Other Operating Expenses was $29.34 million in FY2022 (+49.4%) and $19.64 million in FY2021.
- The Q1 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2021.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2024 (growth of 285.5%), and the weakest in Q4 2023 (a decline of 95.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,978.22 Bn | 3,913.71 Bn | 62.56 Bn |
| 2 | International Business Machines | 234.30 Bn | 188.91 Bn | 9.71 Bn |
| 3 | Equinix | 98.75 Bn | 86.64 Bn | 1.31 Bn |
| 4 | Cloudflare | 87.20 Bn | 70.73 Bn | 499.52 Mn |
| 5 | Nebius | 29.33 Bn | 2.76 Bn | 448.70 Mn |
| 6 | Verisign | 28.15 Bn | 25.50 Bn | 393.20 Mn |
| 7 | CoreWeave | 24.27 Bn | 11.36 Bn | 1.70 Bn |
| 8 | Nutanix | 15.78 Bn | 7.47 Bn | 651.35 Mn |
| 9 | GoDaddy | 15.07 Bn | 10.45 Bn | 843.00 Mn |
| 10 | Terawulf | 4.95 Bn | -4.28 Bn | 32.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 39.91 Mn |
| Sep 30, 2025 | 8.80 Mn |
| Jun 30, 2025 | 1.60 Mn |
| Mar 31, 2025 | 28.32 Mn |
| Mar 31, 2024 | 14.75 Mn |
| Dec 31, 2023 | 805,000.00 |
| Sep 30, 2023 | 14.65 Mn |
| Jun 30, 2023 | 3.88 Mn |
| Mar 31, 2023 | 3.83 Mn |
| Dec 31, 2022 | 17.29 Mn |
| Sep 30, 2022 | 4.61 Mn |
| Jun 30, 2022 | 4.08 Mn |
| Mar 31, 2022 | -4.00 Bn |
| Dec 31, 2021 | 14.41 Mn |
| Sep 30, 2021 | 1.94 Mn |
| Mar 31, 2021 | 1.30 Mn |
API Access
Terawulf 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=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "WULF", "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=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();