Terawulf (WULF) Selling, General & Administrative (2010 - 2026)
Terawulf's Selling, General & Administrative was $126.94 million in Q2 2026, up 788.4% from $14.29 million a year earlier but down 0.6% from the prior quarter.
Terawulf (WULF) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Terawulf's Selling, General & Administrative was $192.67 million through Jun 30, 2026, up 78.1% year-over-year; for FY2025, it came in at $2.4 million, down 96.6% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $70.58 million in FY2024 (+90.7%), $37.02 million in FY2023 (+62.6%), $22.77 million in FY2022 (-4.2%) and $23.76 million in FY2021 (+373.3%).
- Quarterly Selling, General & Administrative has moved between -$78.71 million (Q4 2025) and $127.76 million (Q1 2026) over five years.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 788.4%); the worst was Q4 2022 (a decline of 61.7%).
- Per Business Quant data, WULF's Selling, General & Administrative in the three quarters before Q2 2026 was $127.76 million (Q1 2026), -$78.71 million (Q4 2025) and $16.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 2.29 Bn |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | 4.98 Bn |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | 118.91 Mn |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 462.00 Mn |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | 173.90 Mn |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | 178.00 Mn |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | 60.80 Mn |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | 72.41 Mn |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | 90.50 Mn |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | 126.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.94 Mn |
| Mar 31, 2026 | 127.76 Mn |
| Dec 31, 2025 | -78.71 Mn |
| Sep 30, 2025 | 16.68 Mn |
| Jun 30, 2025 | 14.29 Mn |
| Mar 31, 2025 | 50.14 Mn |
| Dec 31, 2024 | 32.28 Mn |
| Sep 30, 2024 | 11.48 Mn |
| Jun 30, 2024 | 11.92 Mn |
| Mar 31, 2024 | 14.91 Mn |
| Dec 31, 2023 | 18.88 Mn |
| Sep 30, 2023 | 5.77 Mn |
| Jun 30, 2023 | 5.88 Mn |
| Mar 31, 2023 | 6.49 Mn |
| Dec 31, 2022 | 6.52 Mn |
| Sep 30, 2022 | 5.93 Mn |
| Jun 30, 2022 | 4.33 Mn |
| Mar 31, 2022 | 5.99 Mn |
| Dec 31, 2021 | 17.01 Mn |
| Sep 30, 2021 | 3.96 Mn |
Terawulf Selling, General & Administrative 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=selling-general-and-administrative&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();