Terawulf (WULF) Return on Equity [ROE] (2011 - 2026)
Terawulf (WULF) recorded Return on Equity [ROE] of -5567.40% in Q2 2026, down 5490.97 percentage points from -76.42% a year earlier and down 2308.91 percentage points from the prior quarter.
Terawulf (WULF) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Terawulf reported Return on Equity [ROE] of -343.69%, down 312.67 percentage points from FY2024.
- Annual Return on Equity [ROE] has a five-year change of -340.04 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -31.02% in FY2024 (+12.14 pp), -43.16% in FY2023 (+32.21 pp), -75.37% in FY2022 (+66.37 pp) and -141.73% in FY2021 (-138.09 pp).
- The Q2 2026 figure is the lowest quarterly Return on Equity [ROE] in data going back to Q3 2011.
- On a year-over-year basis, Return on Equity [ROE] has declined for six consecutive quarters, with an average year-over-year change of -1161.80 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 57.87 percentage points in Q2 2024, against a drop of 5490.97 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -3258.48% (Q1 2026), -338.99% (Q4 2025) and -267.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 31.22% |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | 31.73% |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | -13.11% |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 10.67% |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | 0.70% |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | -39.41% |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | 746.15% |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | -5,567.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,567.40% |
| Mar 31, 2026 | -3,258.48% |
| Dec 31, 2025 | -338.99% |
| Sep 30, 2025 | -267.52% |
| Jun 30, 2025 | -76.42% |
| Mar 31, 2025 | -59.89% |
| Dec 31, 2024 | -23.47% |
| Sep 30, 2024 | -14.16% |
| Jun 30, 2024 | -15.22% |
| Mar 31, 2024 | -22.95% |
| Dec 31, 2023 | -39.01% |
| Sep 30, 2023 | -60.85% |
| Jun 30, 2023 | -73.09% |
| Mar 31, 2023 | -74.88% |
| Dec 31, 2022 | -75.79% |
| Sep 30, 2022 | -77.88% |
| Jun 30, 2022 | -56.46% |
| Mar 31, 2022 | -48.65% |
| Dec 31, 2021 | -60.92% |
| Sep 30, 2021 | -50.06% |
Terawulf Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();