Terawulf (WULF) Return on Sales [ROS] (2010 - 2026)
Terawulf's Return on Sales [ROS] was -313.74% in Q2 2026, down 281.01 percentage points from -32.73% a year earlier but up 162.98 percentage points from the prior quarter.
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Analysis
Terawulf (WULF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Terawulf's Return on Sales [ROS] was -250.37% through Jun 30, 2026, down 160.62 percentage points year-over-year; for FY2025, it was -110.54%, down 56.12 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -97.25 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -54.42% in FY2024 (-11.92 pp), -42.50% in FY2023 (+248.50 pp) and -290.99% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -4224.42% (Q1 2022) and -5.46% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -123.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 4144.47 percentage points); the worst was Q1 2022 (a drop of 4169.89 percentage points).
- Per Business Quant data, WULF's Return on Sales [ROS] in the three quarters before Q2 2026 was -476.72% (Q1 2026), -240.88% (Q4 2025) and -48.78% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | 26.39% |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | -313.74% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -313.74% |
| Mar 31, 2026 | -476.72% |
| Dec 31, 2025 | -240.88% |
| Sep 30, 2025 | -48.78% |
| Jun 30, 2025 | -32.73% |
| Mar 31, 2025 | -173.31% |
| Dec 31, 2024 | -103.84% |
| Sep 30, 2024 | -58.06% |
| Jun 30, 2024 | -19.02% |
| Mar 31, 2024 | -5.46% |
| Dec 31, 2023 | -20.04% |
| Sep 30, 2023 | -51.12% |
| Jun 30, 2023 | -37.82% |
| Mar 31, 2023 | -79.95% |
| Dec 31, 2022 | -139.94% |
| Sep 30, 2022 | -346.12% |
| Jun 30, 2022 | -564.33% |
| Mar 31, 2022 | -4,224.42% |
| Sep 30, 2021 | -127.21% |
| Jun 30, 2021 | -15.15% |
API Access
Terawulf Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();