Cboe Global Markets (CBOE) Wages, Salaries and Other (2010 - 2026)
Cboe Global Markets (CBOE) recorded Wages, Salaries and Other of $154.7 million in Q2 2026, up 21.0% from $127.9 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
On a TTM basis, Cboe Global Markets' Wages, Salaries and Other came in at $539.3 million as of Jun 30, 2026, up 13.5% year-over-year; for FY2025, it came in at $500.8 million, up 8.3% from FY2024.
- Annual Wages, Salaries and Other has increased for six straight years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $462.4 million in FY2024 (+8.6%), $425.8 million in FY2023 (+17.3%), $363 million in FY2022 (+25.8%) and $288.5 million in FY2021 (+28.3%).
- The Q2 2026 figure is the highest quarterly Wages, Salaries and Other in data going back to Q2 2010.
- On a year-over-year basis, Wages, Salaries and Other has increased for six consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 37.8% in Q3 2022, against a decline of 5.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $127.9 million (Q1 2026), $127.5 million (Q4 2025) and $129.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 1.79 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 233.50 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 509.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 383.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 1.29 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 182.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 868.00 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 154.70 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 355.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.70 Mn |
| Mar 31, 2026 | 127.90 Mn |
| Dec 31, 2025 | 127.50 Mn |
| Sep 30, 2025 | 129.20 Mn |
| Jun 30, 2025 | 127.90 Mn |
| Mar 31, 2025 | 116.20 Mn |
| Dec 31, 2024 | 111.90 Mn |
| Sep 30, 2024 | 119.10 Mn |
| Jun 30, 2024 | 116.10 Mn |
| Mar 31, 2024 | 115.30 Mn |
| Dec 31, 2023 | 112.80 Mn |
| Sep 30, 2023 | 96.10 Mn |
| Jun 30, 2023 | 106.50 Mn |
| Mar 31, 2023 | 110.40 Mn |
| Dec 31, 2022 | 93.60 Mn |
| Sep 30, 2022 | 102.00 Mn |
| Jun 30, 2022 | 86.20 Mn |
| Mar 31, 2022 | 81.20 Mn |
| Dec 31, 2021 | 74.50 Mn |
| Sep 30, 2021 | 74.00 Mn |
API Access
Cboe Global Markets Wages, Salaries and Other 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=wages-salaries-and-other&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();