Terawulf (WULF) Price to Earnings (2011 - 2018)
Terawulf's (WULF) Price to Earnings was 119.90 for Q4 2018, up 73.4% from the prior quarter.
Analysis
Terawulf (WULF) Price to Earnings (2011 - 2018) Analysis & Trends
Dating back to Q1 2011, Terawulf's Price to Earnings record includes 27 quarters.
- By year, Price to Earnings came in at 167.28 in FY2015 (+269.3%) and 45.29 in FY2014 (+4.1%).
- Five-year quarterly Price to Earnings spans a low of 40.56 in Q3 2014 and a high of 1101.62 in Q3 2015.
- The high point for year-over-year Price to Earnings in five years was Q4 2015 (growth of 269.3%); the low point was Q3 2016 (a decline of 86.7%).
- Per Business Quant data, the three quarters before Q4 2018 came in at 69.14 (Q3 2018), 77.91 (Q2 2018) and 792.99 (Q1 2018).
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 |
|---|---|
| Dec 31, 2018 | 119.90 |
| Sep 30, 2018 | 69.14 |
| Jun 30, 2018 | 77.91 |
| Mar 31, 2018 | 792.99 |
| Sep 30, 2016 | 146.48 |
| Jun 30, 2016 | 124.24 |
| Mar 31, 2016 | 139.19 |
| Dec 31, 2015 | 167.28 |
| Sep 30, 2015 | 1,101.62 |
| Jun 30, 2015 | 687.21 |
| Mar 31, 2015 | 150.26 |
| Dec 31, 2014 | 45.29 |
| Sep 30, 2014 | 40.56 |
| Jun 30, 2014 | 57.71 |
| Mar 31, 2014 | 51.66 |
| Dec 31, 2013 | 43.51 |
| Sep 30, 2013 | 62.05 |
| Jun 30, 2013 | 45.43 |
| Mar 31, 2013 | 37.05 |
| Dec 31, 2012 | 23.18 |
API Access
Terawulf Price to Earnings 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-earnings&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();