Cme (CME) Wages, Salaries and Other (2009 - 2026)
Cme (CME) reported Wages, Salaries and Other of $233.5 million for Q2 2026, up 5.4% from $221.6 million a year earlier and up 4.7% from the prior quarter.
Cme (CME) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cme's Wages, Salaries and Other came in at $935.2 million, up 7.8% year-over-year; for FY2025, it was $907 million, up 6.7% from FY2024.
- Wages, Salaries and Other has increased for three consecutive years, with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $850.3 million in FY2024 (+2.6%), $828.6 million in FY2023 (+10.0%), $753.1 million in FY2022 (-10.0%) and $837 million in FY2021 (-2.3%).
- Five-year quarterly Wages, Salaries and Other spans a low of $185.2 million in Q1 2022 and a high of $241.1 million in Q4 2025.
- Year over year, Wages, Salaries and Other has now increased in each of the last eight quarters, with growth averaging 6.2% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was Q2 2023 (growth of 11.0%); the low point was Q1 2022 (a decline of 17.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $223 million (Q1 2026), $241.1 million (Q4 2025) and $237.6 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 233.50 Mn |
| Mar 31, 2026 | 223.00 Mn |
| Dec 31, 2025 | 241.10 Mn |
| Sep 30, 2025 | 237.60 Mn |
| Jun 30, 2025 | 221.60 Mn |
| Mar 31, 2025 | 206.70 Mn |
| Dec 31, 2024 | 220.80 Mn |
| Sep 30, 2024 | 218.80 Mn |
| Jun 30, 2024 | 204.70 Mn |
| Mar 31, 2024 | 206.00 Mn |
| Dec 31, 2023 | 212.90 Mn |
| Sep 30, 2023 | 205.50 Mn |
| Jun 30, 2023 | 205.70 Mn |
| Mar 31, 2023 | 204.50 Mn |
| Dec 31, 2022 | 193.00 Mn |
| Sep 30, 2022 | 189.60 Mn |
| Jun 30, 2022 | 185.30 Mn |
| Mar 31, 2022 | 185.20 Mn |
| Dec 31, 2021 | 201.70 Mn |
| Sep 30, 2021 | 198.60 Mn |
Cme 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=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "CME", "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=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();