Intercontinental Exchange (ICE) Selling, General & Administrative (2013 - 2026)
Intercontinental Exchange (ICE) reported Selling, General & Administrative of $63 million for Q2 2026, down 4.5% from $66 million a year earlier and down 25.9% from the prior quarter.
Intercontinental Exchange (ICE) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Intercontinental Exchange's Selling, General & Administrative came in at $299 million, up 10.3% year-over-year; for FY2025, it was $293 million, down 4.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $307 million in FY2024 (+15.4%), $266 million in FY2023 (+17.7%), $226 million in FY2022 (+5.1%) and $215 million in FY2021 (+16.2%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q3 2024.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 1.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 58.7%); the low point was Q2 2025 (a decline of 34.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $85 million (Q1 2026), $74 million (Q4 2025) and $77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | - |
| 10 | LPL Financial Holdings | 24.58 Bn | 19.90 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.00 Mn |
| Mar 31, 2026 | 85.00 Mn |
| Dec 31, 2025 | 74.00 Mn |
| Sep 30, 2025 | 77.00 Mn |
| Jun 30, 2025 | 66.00 Mn |
| Mar 31, 2025 | 76.00 Mn |
| Dec 31, 2024 | 75.00 Mn |
| Sep 30, 2024 | 54.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 78.00 Mn |
| Dec 31, 2023 | 70.00 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Jun 30, 2023 | 63.00 Mn |
| Mar 31, 2023 | 74.00 Mn |
| Dec 31, 2022 | 60.00 Mn |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 57.00 Mn |
| Mar 31, 2022 | 55.00 Mn |
| Dec 31, 2021 | 52.00 Mn |
| Sep 30, 2021 | 52.00 Mn |
Intercontinental Exchange Selling, General & Administrative 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=selling-general-and-administrative&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();