eToro (ETOR) Price to Book (2025)
eToro's (ETOR) Price to Book stood at 2.10 in the quarter ended Dec 31, 2025.
Analysis
eToro (ETOR) Price to Book (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.93 Bn | 98.03 Bn | - |
| 2 | Intercontinental Exchange | 91.85 Bn | 85.66 Bn | - |
| 3 | Robinhood Markets | 86.83 Bn | 67.92 Bn | - |
| 4 | Nasdaq | 57.69 Bn | 55.13 Bn | 1.48 Bn |
| 5 | Interactive Brokers | 37.07 Bn | 30.53 Bn | - |
| 6 | Cboe Global Markets | 34.37 Bn | 26.02 Bn | 731.60 Mn |
| 7 | Tradeweb Markets | 28.54 Bn | 21.25 Bn | - |
| 8 | LPL Financial Holdings | 25.11 Bn | 20.43 Bn | - |
| 9 | Circle Internet | 20.23 Bn | 14.11 Bn | 288.85 Mn |
| 10 | eToro | 2.03 Bn | -2.92 Bn | 63.50 Mn |
API Access
eToro 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=ETOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ETOR", "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=ETOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();