Intercontinental Exchange (ICE) Wages, Salaries and Other (2013 - 2026)
Intercontinental Exchange (ICE) posted Wages, Salaries and Other of $509 million for Q2 2026, up 2.0% from $499 million a year earlier and up 0.8% from the prior quarter.
Intercontinental Exchange (ICE) Wages, Salaries and Other (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Intercontinental Exchange was $2 billion, up 2.2% year-over-year; for FY2025, it was $1.96 billion, up 2.8% from FY2024.
- Annual Wages, Salaries and Other has increased for three consecutive years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior years, Intercontinental Exchange's Wages, Salaries and Other was $1.91 billion in FY2024 (+19.7%), $1.6 billion in FY2023 (+13.4%), $1.41 billion in FY2022 (-3.8%) and $1.46 billion in FY2021 (+23.1%).
- The Q2 2026 figure stands as the highest quarterly Wages, Salaries and Other in data going back to Q1 2013.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last three quarters, with growth averaging 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q4 2023, with growth of 41.0%; the weakest was Q3 2022, with a decline of 8.0%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $505 million (Q1 2026), $500 million (Q4 2025) and $483 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 | 509.00 Mn |
| Mar 31, 2026 | 505.00 Mn |
| Dec 31, 2025 | 500.00 Mn |
| Sep 30, 2025 | 483.00 Mn |
| Jun 30, 2025 | 499.00 Mn |
| Mar 31, 2025 | 481.00 Mn |
| Dec 31, 2024 | 487.00 Mn |
| Sep 30, 2024 | 487.00 Mn |
| Jun 30, 2024 | 473.00 Mn |
| Mar 31, 2024 | 462.00 Mn |
| Dec 31, 2023 | 492.00 Mn |
| Sep 30, 2023 | 400.00 Mn |
| Jun 30, 2023 | 351.00 Mn |
| Mar 31, 2023 | 352.00 Mn |
| Dec 31, 2022 | 349.00 Mn |
| Sep 30, 2022 | 344.00 Mn |
| Jun 30, 2022 | 355.00 Mn |
| Mar 31, 2022 | 359.00 Mn |
| Dec 31, 2021 | 369.00 Mn |
| Sep 30, 2021 | 374.00 Mn |
Intercontinental Exchange 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=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "ICE", "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=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();