Terawulf (WULF) Revenue (2010 - 2026)
Terawulf (WULF) posted Revenue of $44.77 million for Q2 2026, down 6.0% from $47.64 million a year earlier but up 31.6% from the prior quarter.
Terawulf (WULF) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Terawulf was $165.19 million, up 4.1% year-over-year; for FY2025, it came in at $168.46 million, up 20.3% from FY2024.
- Annual Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 65.8% (FY2020 to FY2025).
- In prior years, Terawulf's Revenue was $140.05 million in FY2024 (+102.3%), $69.23 million in FY2023 (+360.5%) and $15.03 million in FY2022.
- Quarterly Revenue has run from a low of $217,000 in Q1 2022 to a high of $50.58 million in Q3 2025 over five years.
- On a year-over-year basis, Revenue has declined in each of the last three quarters, with growth averaging 27.8% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2023, with growth of 390.6%; the weakest was Q1 2022, with a decline of 92.9%.
- According to Business Quant data, Revenue for the three prior quarters was $34.01 million (Q1 2026), $35.84 million (Q4 2025) and $50.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 90.01 Bn |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | 17.16 Bn |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | 696.06 Mn |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 2.63 Bn |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | 582.30 Mn |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | 2.58 Bn |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | 434.60 Mn |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | 757.08 Mn |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | 1.30 Bn |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | 44.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.77 Mn |
| Mar 31, 2026 | 34.01 Mn |
| Dec 31, 2025 | 35.84 Mn |
| Sep 30, 2025 | 50.58 Mn |
| Jun 30, 2025 | 47.64 Mn |
| Mar 31, 2025 | 34.41 Mn |
| Dec 31, 2024 | 49.52 Mn |
| Sep 30, 2024 | 27.06 Mn |
| Jun 30, 2024 | 35.57 Mn |
| Mar 31, 2024 | 42.43 Mn |
| Dec 31, 2023 | 23.29 Mn |
| Sep 30, 2023 | 18.96 Mn |
| Jun 30, 2023 | 15.46 Mn |
| Mar 31, 2023 | 11.53 Mn |
| Dec 31, 2022 | 9.57 Mn |
| Sep 30, 2022 | 3.86 Mn |
| Jun 30, 2022 | 1.39 Mn |
| Mar 31, 2022 | 217,000.00 |
| Sep 30, 2021 | 4.74 Mn |
| Jun 30, 2021 | 4.25 Mn |
Terawulf Revenue 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=revenue&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();