Terawulf (WULF) Property, Plant & Equipment (Net) (2010 - 2026)
Terawulf (WULF) posted Property, Plant & Equipment (Net) of $3.6 billion for Q2 2026, up 495.3% from $604.76 million a year earlier and up 39.4% from the prior quarter.
Terawulf (WULF) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Terawulf's Property, Plant & Equipment (Net) came in at $1.51 billion, up 266.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for three consecutive years, with a five-year compound annual growth rate of 189.7% (FY2020 to FY2025).
- In prior years, Terawulf's Property, Plant & Equipment (Net) was $411.87 million in FY2024 (+100.6%), $205.28 million in FY2023 (+7.2%), $191.52 million in FY2022 (unchanged) and $191.52 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 11 quarters, with growth averaging 220.7% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2026, with growth of 495.3%; the weakest was Q3 2023, with a decline of 10.3%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $2.58 billion (Q1 2026), $1.51 billion (Q4 2025) and $861.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 313.08 Bn |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | 5.74 Bn |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | 703.21 Mn |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 25.22 Bn |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | 13.05 Bn |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | 46.74 Bn |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | 227.70 Mn |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | 134.89 Mn |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | 140.10 Mn |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | 3.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.60 Bn |
| Mar 31, 2026 | 2.58 Bn |
| Dec 31, 2025 | 1.51 Bn |
| Sep 30, 2025 | 861.78 Mn |
| Jun 30, 2025 | 604.76 Mn |
| Mar 31, 2025 | 509.89 Mn |
| Dec 31, 2024 | 411.87 Mn |
| Sep 30, 2024 | 283.10 Mn |
| Jun 30, 2024 | 272.05 Mn |
| Mar 31, 2024 | 237.89 Mn |
| Dec 31, 2023 | 205.28 Mn |
| Sep 30, 2023 | 181.29 Mn |
| Jun 30, 2023 | 161.78 Mn |
| Mar 31, 2023 | 159.42 Mn |
| Dec 31, 2022 | 191.52 Mn |
| Sep 30, 2022 | 202.13 Mn |
| Mar 31, 2022 | 121.87 Mn |
| Dec 31, 2021 | 191.52 Mn |
| Sep 30, 2021 | 6.93 Mn |
| Jun 30, 2021 | 7.08 Mn |
Terawulf Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();