Terawulf (WULF) Debt Ratio (2016 - 2026)
Terawulf's Debt Ratio was 0.65 in Q2 2026, up 24.4% from the prior quarter.
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Analysis
Terawulf (WULF) Debt Ratio (2016 - 2026) Analysis & Trends
For FY2025, Debt Ratio at Terawulf came in at 0.54.
- In earlier years, Debt Ratio was 0.33 in FY2023 (-16.9%), 0.39 in FY2022 (+10.1%) and 0.36 in FY2021 (+105.1%).
- The Q2 2026 figure marks the highest quarterly Debt Ratio in data going back to Q2 2016.
- The best year-over-year quarter for Debt Ratio over five years was Q1 2022 (growth of 317.7%); the worst was Q2 2024 (a decline of 62.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,978.22 Bn | 3,913.71 Bn | 62.56 Bn | 0.05 |
| 2 | International Business Machines | 234.30 Bn | 188.91 Bn | 9.71 Bn | 0.41 |
| 3 | Equinix | 98.75 Bn | 86.64 Bn | 1.31 Bn | 0.51 |
| 4 | Cloudflare | 87.20 Bn | 70.73 Bn | 499.52 Mn | 0.20 |
| 5 | Nebius | 29.33 Bn | 2.76 Bn | 448.70 Mn | 0.31 |
| 6 | Verisign | 28.15 Bn | 25.50 Bn | 393.20 Mn | 1.40 |
| 7 | CoreWeave | 24.27 Bn | 11.36 Bn | 1.70 Bn | 0.05 |
| 8 | Nutanix | 15.78 Bn | 7.47 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 15.07 Bn | 10.45 Bn | 843.00 Mn | 0.48 |
| 10 | Terawulf | 4.95 Bn | -4.28 Bn | 32.37 Mn | 0.65 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.65 |
| Mar 31, 2026 | 0.53 |
| Dec 31, 2025 | 0.55 |
| Jun 30, 2024 | 0.15 |
| Mar 31, 2024 | 0.25 |
| Dec 31, 2023 | 0.33 |
| Sep 30, 2023 | 0.40 |
| Jun 30, 2023 | 0.40 |
| Mar 31, 2023 | 0.36 |
| Dec 31, 2022 | 0.39 |
| Sep 30, 2022 | 0.37 |
| Mar 31, 2022 | 0.37 |
| Dec 31, 2021 | 0.36 |
| Mar 31, 2021 | 0.09 |
| Dec 31, 2020 | 0.17 |
| Sep 30, 2020 | 0.26 |
| Jun 30, 2020 | 0.26 |
| Mar 31, 2020 | 0.18 |
| Dec 31, 2019 | 0.17 |
| Sep 30, 2019 | 0.17 |
API Access
Terawulf Debt Ratio 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=debt-ratio&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();