Terawulf (WULF) Total Liabilities (2010 - 2026)
Terawulf's Total Liabilities came in at $7.9 billion for Q2 2026, compared with $695.08 million a year earlier and up 11.5% from the prior quarter.
Powered by 
Analysis
Terawulf (WULF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Terawulf's Total Liabilities was $6.42 billion.
- Total Liabilities carries a five-year compound annual growth rate of 347.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $543.07 million in FY2024 (+249.0%), $155.62 million in FY2023 (-22.2%), $199.93 million in FY2022 (+41.1%) and $141.73 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities increased in four of the last five quarters, with growth averaging 443.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 956.4%), and the weakest in Q3 2024 (a decline of 78.9%).
- Business Quant data shows WULF's Total Liabilities at $7.09 billion (Q1 2026), $6.42 billion (Q4 2025) and $2.21 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,978.22 Bn | 3,913.71 Bn | 62.56 Bn | 308.89 Bn |
| 2 | International Business Machines | 234.30 Bn | 188.91 Bn | 9.71 Bn | 118.81 Bn |
| 3 | Equinix | 98.75 Bn | 86.64 Bn | 1.31 Bn | 29.91 Bn |
| 4 | Cloudflare | 87.20 Bn | 70.73 Bn | 499.52 Mn | 4.85 Bn |
| 5 | Nebius | 29.33 Bn | 2.76 Bn | 448.70 Mn | 17.62 Bn |
| 6 | Verisign | 28.15 Bn | 25.50 Bn | 393.20 Mn | 3.56 Bn |
| 7 | CoreWeave | 24.27 Bn | 11.36 Bn | 1.70 Bn | 72.05 Bn |
| 8 | Nutanix | 15.78 Bn | 7.47 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 15.07 Bn | 10.45 Bn | 843.00 Mn | 8.05 Bn |
| 10 | Terawulf | 4.95 Bn | -4.28 Bn | 32.37 Mn | 7.90 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.90 Bn |
| Mar 31, 2026 | 7.09 Bn |
| Dec 31, 2025 | 6.42 Bn |
| Sep 30, 2025 | 2.21 Bn |
| Jun 30, 2025 | 695.08 Mn |
| Mar 31, 2025 | 670.79 Mn |
| Dec 31, 2024 | 543.07 Mn |
| Sep 30, 2024 | 33.27 Mn |
| Jun 30, 2024 | 93.33 Mn |
| Mar 31, 2024 | 123.05 Mn |
| Dec 31, 2023 | 155.62 Mn |
| Sep 30, 2023 | 157.86 Mn |
| Jun 30, 2023 | 165.00 Mn |
| Mar 31, 2023 | 170.47 Mn |
| Dec 31, 2022 | 199.93 Mn |
| Sep 30, 2022 | 188.02 Mn |
| Mar 31, 2022 | 151.83 Mn |
| Dec 31, 2021 | 141.73 Mn |
| Sep 30, 2021 | -5.26 Mn |
| Jun 30, 2021 | 2.09 Mn |
API Access
Terawulf Total Liabilities 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=total-liabilities&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();