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 | Cme | 110.43 Bn | 98.52 Bn | - | -368.00 Mn |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - | - |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - | - |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn | - |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - | - |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn | -111.70 Mn |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - | - |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - | - |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn | - |
| 10 | Xp | 15.46 Bn | -6.37 Bn | 105.39 Mn | - |
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();