Intercontinental Exchange (ICE) Change in Taxes (2013 - 2020)
Intercontinental Exchange's Change in Taxes was $151 million in Q2 2020, up 54.1% from $98 million a year earlier and up 459.3% from the prior quarter.
Intercontinental Exchange (ICE) Change in Taxes (2013 - 2020) Analysis & Trends
On a trailing twelve-month basis, Intercontinental Exchange's Change in Taxes was $143 million through Jun 30, 2020; for FY2013, it came in at -$15 million.
- In earlier years, Change in Taxes was $15 million in FY2012 (-65.1%) and $43 million in FY2011.
- The Q2 2020 figure marks the highest quarterly Change in Taxes in data going back to Q1 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | -368.00 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | - |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 23.90 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 151.00 Mn |
| Mar 31, 2020 | 27.00 Mn |
| Sep 30, 2019 | -133.00 Mn |
| Jun 30, 2019 | 98.00 Mn |
| Mar 31, 2019 | -35.00 Mn |
| Sep 30, 2018 | -197.00 Mn |
| Jun 30, 2018 | 88.00 Mn |
| Mar 31, 2018 | -8.00 Mn |
| Sep 30, 2017 | -150.00 Mn |
| Jun 30, 2017 | 91.00 Mn |
| Mar 31, 2017 | -40.00 Mn |
| Sep 30, 2016 | -162.00 Mn |
| Jun 30, 2016 | 98.00 Mn |
| Mar 31, 2016 | -19.00 Mn |
| Sep 30, 2015 | -137.00 Mn |
| Jun 30, 2015 | 76.00 Mn |
| Mar 31, 2015 | -45.00 Mn |
| Sep 30, 2014 | -125.00 Mn |
| Jun 30, 2014 | 82.00 Mn |
| Mar 31, 2014 | -13.00 Mn |
Intercontinental Exchange Change in Taxes 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=change-in-taxes&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();