Terawulf (WULF) Return on Assets [ROA] (2011 - 2026)
Terawulf (WULF) posted Return on Assets [ROA] of -25.85% for Q2 2026, down 10.45 percentage points from -15.40% a year earlier and down 10.76 percentage points from the prior quarter.
Powered by 
Analysis
Terawulf (WULF) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Terawulf's Return on Assets [ROA] came in at -18.01%, down 5.58 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -15.29 percentage points (FY2020 to FY2025).
- In prior years, Terawulf's Return on Assets [ROA] was -12.43% in FY2024 (+8.68 pp), -21.10% in FY2023 (+10.06 pp), -31.17% in FY2022 (+37.09 pp) and -68.26% in FY2021 (-65.54 pp).
- Quarterly Return on Assets [ROA] has run from a low of -56.30% in Q3 2021 to a high of -11.45% in Q2 2024 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -1.66 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q2 2024, with a gain of 21.87 percentage points; the weakest was Q3 2021, with a drop of 43.40 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -15.09% (Q1 2026), -14.59% (Q4 2025) and -33.94% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,980.35 Bn | 3,915.84 Bn | 62.56 Bn | 18.55% |
| 2 | International Business Machines | 233.58 Bn | 188.86 Bn | 9.71 Bn | 7.27% |
| 3 | Equinix | 98.73 Bn | 86.61 Bn | 1.31 Bn | 3.85% |
| 4 | Cloudflare | 79.73 Bn | 62.17 Bn | 557.23 Mn | -3.37% |
| 5 | Nebius | 30.46 Bn | 3.89 Bn | 448.70 Mn | 0.25% |
| 6 | Verisign | 28.02 Bn | 25.38 Bn | 393.20 Mn | 55.13% |
| 7 | CoreWeave | 24.06 Bn | 11.15 Bn | 1.70 Bn | -2.91% |
| 8 | Nutanix | 15.84 Bn | 7.53 Bn | 651.35 Mn | 35.49% |
| 9 | GoDaddy | 14.72 Bn | 10.10 Bn | 843.00 Mn | 12.09% |
| 10 | Terawulf | 5.03 Bn | -4.20 Bn | 32.37 Mn | -25.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.85% |
| Mar 31, 2026 | -15.09% |
| Dec 31, 2025 | -14.59% |
| Sep 30, 2025 | -33.94% |
| Jun 30, 2025 | -15.40% |
| Mar 31, 2025 | -15.25% |
| Dec 31, 2024 | -12.14% |
| Sep 30, 2024 | -12.14% |
| Jun 30, 2024 | -11.45% |
| Mar 31, 2024 | -14.68% |
| Dec 31, 2023 | -21.28% |
| Sep 30, 2023 | -28.73% |
| Jun 30, 2023 | -33.32% |
| Mar 31, 2023 | -31.16% |
| Dec 31, 2022 | -28.93% |
| Mar 31, 2022 | -22.09% |
| Dec 31, 2021 | -30.94% |
| Sep 30, 2021 | -56.30% |
| Jun 30, 2021 | -5.62% |
| Mar 31, 2021 | -6.73% |
API Access
Terawulf Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();