Terawulf (WULF) Asset Writedowns and Impairment (2019 - 2026)
Terawulf's Asset Writedowns and Impairment came in at $25.7 million for Q1 2026.
Powered by 
Analysis
Terawulf (WULF) Asset Writedowns and Impairment (2019 - 2026) Analysis & Trends
For FY2023, Terawulf's Asset Writedowns and Impairment was $3.04 million, up 108.9% from FY2022.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 139.3% (FY2019 to FY2023).
- Going back by year, Asset Writedowns and Impairment was $1.46 million in FY2022, $16,906 in FY2020 (-81.8%) and $92,833 in FY2019.
- The Q1 2026 figure represents the highest quarterly Asset Writedowns and Impairment in data going back to Q1 2019.
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 |
|---|---|
| Mar 31, 2026 | 25.70 Mn |
| Dec 31, 2024 | -355,000.00 |
| Sep 30, 2024 | 355,000.00 |
| Dec 31, 2023 | 812,000.00 |
| Sep 30, 2023 | 922,000.00 |
| Jun 30, 2023 | -700,000.00 |
| Mar 31, 2023 | 627,000.00 |
| Dec 31, 2022 | 775,000.00 |
| Sep 30, 2022 | 119,000.00 |
| Jun 30, 2022 | 558,000.00 |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2019 | 5,711.00 |
| Sep 30, 2019 | 15,522.00 |
| Jun 30, 2019 | 71,257.00 |
| Mar 31, 2019 | 343.00 |
API Access
Terawulf Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();