Terawulf (WULF) Price to Book (2010 - 2026)
Terawulf's Price to Book came in at 83.53 for Q2 2026, up 701.9% from 10.42 a year earlier.
Powered by 
Analysis
Terawulf (WULF) Price to Book (2010 - 2026) Analysis & Trends
For FY2025, Terawulf's Price to Book was 34.37, up 267.2% from FY2024.
- Price to Book has increased in each of the last three years.
- Going back by year, Price to Book was 9.36 in FY2024 (+313.3%), 2.26 in FY2023 (+259.8%), 0.63 in FY2022 (-94.8%) and 12.22 in FY2021 (+633.9%).
- The Q2 2026 figure represents the highest quarterly Price to Book in data going back to Q4 2010.
- The fastest year-over-year change in Price to Book over five years came in Q1 2022 (growth of 920.7%), and the weakest in Q4 2022 (a decline of 94.8%).
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 | 83.53 |
| Dec 31, 2025 | 34.37 |
| Sep 30, 2025 | 20.28 |
| Jun 30, 2025 | 10.42 |
| Mar 31, 2025 | 6.54 |
| Dec 31, 2024 | 9.36 |
| Sep 30, 2024 | 4.81 |
| Jun 30, 2024 | 4.31 |
| Mar 31, 2024 | 2.93 |
| Dec 31, 2023 | 2.26 |
| Sep 30, 2023 | 1.90 |
| Jun 30, 2023 | 2.80 |
| Mar 31, 2023 | 1.20 |
| Dec 31, 2022 | 0.63 |
| Sep 30, 2022 | 1.19 |
| Jun 30, 2022 | 0.92 |
| Mar 31, 2022 | 7.00 |
| Dec 31, 2021 | 12.22 |
| Sep 30, 2021 | 3.19 |
| Jun 30, 2021 | 3.49 |
API Access
Terawulf Price to Book 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=price-to-book&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();