Terawulf (WULF) Short term Debt (2016 - 2026)
Terawulf (WULF) recorded Short term Debt of $1.19 billion in Q2 2026, up 143.2% from the prior quarter.
Analysis
Terawulf (WULF) Short term Debt (2016 - 2026) Analysis & Trends
At the end of FY2025, Terawulf reported Short term Debt of $489.77 million.
- Annual Short term Debt has a five-year compound annual growth rate of 183.2% (FY2020 to FY2025).
- Across earlier years, Short term Debt came in at $123.47 million in FY2023 (+137.7%) and $51.94 million in FY2022.
- The Q2 2026 figure is the highest quarterly Short term Debt in data going back to Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn |
| 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 |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 490.35 Mn |
| Dec 31, 2025 | 489.77 Mn |
| Jun 30, 2024 | 72.30 Mn |
| Mar 31, 2024 | 99.36 Mn |
| Dec 31, 2023 | 123.47 Mn |
| Sep 30, 2023 | 76.46 Mn |
| Jun 30, 2023 | 36.53 Mn |
| Dec 31, 2022 | 51.94 Mn |
| Sep 30, 2022 | 34.63 Mn |
| Mar 31, 2021 | 2.65 Mn |
| Dec 31, 2020 | 2.69 Mn |
| Sep 30, 2020 | 3.46 Mn |
| Jun 30, 2020 | 3.29 Mn |
| Mar 31, 2020 | 134,592.00 |
| Dec 31, 2019 | 133,287.00 |
| Sep 30, 2019 | 132,458.00 |
| Jun 30, 2019 | 131,385.00 |
| Mar 31, 2019 | 129,582.00 |
| Dec 31, 2018 | 129,282.00 |
API Access
Terawulf Short term Debt 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=short-term-debt&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();