eToro (ETOR) Exchange Rate Effect (2024 - 2026)
eToro (ETOR) recorded Exchange Rate Effect of -$132,000 in the quarter ended Jun 30, 2026, compared with $11.55 million a year earlier.
eToro (ETOR) Exchange Rate Effect (2024 - 2026) Analysis & Trends
On a TTM basis, eToro's Exchange Rate Effect came in at -$17.25 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was $2.59 million.
- Across earlier years, Exchange Rate Effect came in at -$9.8 million in the year ended Dec 31, 2024 and $4.07 million in the year ended Dec 31, 2023.
- Quarterly Exchange Rate Effect has ranged from -$14.75 million in the quarter ended Dec 31, 2025 to $11.55 million in the quarter ended Jun 30, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$784,000 (quarter ended Mar 31, 2026), -$14.75 million (quarter ended Dec 31, 2025) and -$1.59 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - | - |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - | -3.00 Mn |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - | -4.00 Mn |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn | -18.00 Mn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - | -57.00 Mn |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn | 32.20 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - | - |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - | -441,000.00 |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn | -1.90 Mn |
| 10 | eToro | 2.03 Bn | -2.92 Bn | 63.50 Mn | -132,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -132,000.00 |
| Mar 31, 2026 | -784,000.00 |
| Dec 31, 2025 | -14.75 Mn |
| Sep 30, 2025 | -1.59 Mn |
| Jun 30, 2025 | 11.55 Mn |
| Mar 31, 2025 | 7.38 Mn |
| Dec 31, 2024 | -10.02 Mn |
| Sep 30, 2024 | 4.25 Mn |
| Jun 30, 2024 | -449,000.00 |
| Mar 31, 2024 | -3.58 Mn |
eToro Exchange Rate Effect 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=exchange-rate-effect&ticker=ETOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ETOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();