Cboe Global Markets (CBOE) Exchange Rate Effect (2017 - 2026)
Cboe Global Markets (CBOE) posted Exchange Rate Effect of $32.2 million for Q2 2026, down 81.5% from $173.7 million a year earlier.
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Analysis
Cboe Global Markets (CBOE) Exchange Rate Effect (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Cboe Global Markets was -$53.5 million; for FY2025, it was $271.8 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 179.3% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Exchange Rate Effect was -$95.1 million in FY2024, $52.8 million in FY2023, -$10 million in FY2022 and -$9.1 million in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$128.5 million in Q4 2024 to a high of $173.7 million in Q2 2025 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$58.1 million (Q1 2026), $4.9 million (Q4 2025) and -$32.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | -3.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 7.00 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | -4.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | -18.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | -57.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 61.40 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 32.20 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.20 Mn |
| Mar 31, 2026 | -58.10 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | -32.50 Mn |
| Jun 30, 2025 | 173.70 Mn |
| Mar 31, 2025 | 125.70 Mn |
| Dec 31, 2024 | -128.50 Mn |
| Sep 30, 2024 | 74.80 Mn |
| Jun 30, 2024 | -16.40 Mn |
| Mar 31, 2024 | -25.00 Mn |
| Dec 31, 2023 | 35.10 Mn |
| Sep 30, 2023 | -2.60 Mn |
| Jun 30, 2023 | -800,000.00 |
| Mar 31, 2023 | 21.10 Mn |
| Dec 31, 2022 | 20.50 Mn |
| Sep 30, 2022 | -14.70 Mn |
| Jun 30, 2022 | -16.50 Mn |
| Mar 31, 2022 | 700,000.00 |
| Dec 31, 2021 | -11.60 Mn |
| Sep 30, 2021 | 2.80 Mn |
API Access
Cboe Global Markets 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=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CBOE", "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=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();