
Annual report 2025
added 02-05-2026
Intercontinental Exchange EBITDA 2011-2026 | ICE
Earnings before Interest, Taxes, Depreciation, and Amortization (EBITDA), is an often used measure of a company's profitability. Financial analysts use EBITDA for a number of purposes including calculating simple valuations of a firm, estimating cash flows, and assessing debt servicing capability. The uses for EBITDA in financial analysis are numerous, but in practice should be more restrained. While EBITDA has some useful applications, it should be used with caution, as the problems with EBITDA are abundant and can lead to a number of misguided conclusions.[1]
EBITDA is an important indicator for investors and analysts because it allows them to evaluate a company's operating profit without considering the impact of financial expenses, taxes, or non-cash depreciation and amortization. It provides better comparability between companies in different industries or with different tax conditions.
EBITDA is often used to assess a company's ability to generate cash flow and repay debts. It can also serve as a measure of a company's operational efficiency, as it shows how profitable the core business is, regardless of external factors such as interest or taxes.
However, it is important to note that EBITDA is not an official financial statement measure and can be defined and calculated differently by companies. Therefore, investors and analysts should exercise caution when using EBITDA as an evaluation tool and combine it with other financial metrics and information to get a more complete picture of a company's financial condition.
Annual EBITDA Intercontinental Exchange
| 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6.49 B | 5.85 B | 4.91 B | 4.67 B | 4.46 B | 3.78 B | 3.34 B | 3.2 B | 2.95 B | 2.86 B | 2.21 B | 1.91 B | 1.12 B | 977 M | 941 M |
All numbers in USD currency
Indicator range from annual reports
| Maximum | Minimum | Average |
|---|---|---|
| 6.49 B | 941 M | 3.31 B |
Quarterly EBITDA Intercontinental Exchange
| 2025-Q2 | 2025-Q1 | 2024-Q4 | 2024-Q3 | 2024-Q2 | 2024-Q1 | 2023-Q4 | 2023-Q3 | 2023-Q2 | 2023-Q1 | 2022-Q4 | 2022-Q3 | 2022-Q2 | 2022-Q1 | 2021-Q4 | 2021-Q3 | 2021-Q2 | 2021-Q1 | 2020-Q4 | 2020-Q3 | 2020-Q2 | 2020-Q1 | 2019-Q4 | 2019-Q3 | 2019-Q2 | 2019-Q1 | 2018-Q4 | 2018-Q3 | 2018-Q2 | 2018-Q1 | 2017-Q4 | 2017-Q3 | 2017-Q2 | 2017-Q1 | 2016-Q4 | 2016-Q3 | 2016-Q2 | 2016-Q1 | 2015-Q4 | 2015-Q3 | 2015-Q2 | 2015-Q1 | 2014-Q4 | 2014-Q3 | 2014-Q2 | 2014-Q1 | 2013-Q4 | 2013-Q3 | 2013-Q2 | 2013-Q1 | 2012-Q4 | 2012-Q3 | 2012-Q2 | 2012-Q1 | 2011-Q4 | 2011-Q3 | 2011-Q2 | 2011-Q1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.69 B | 1.61 B | - | 1.49 B | 1.45 B | 1.44 B | - | 1.15 B | 1.22 B | 1.23 B | - | 1.17 B | 1.12 B | 1.25 B | - | 1.13 B | 1.05 B | 1.15 B | 780 M | 807 M | 901 M | 1.04 B | 622 M | 864 M | 837 M | 823 M | 676 M | 750 M | 798 M | 788 M | 592 M | 724 M | 751 M | 716 M | 558 M | 655 M | 697 M | 727 M | 418 M | 568 M | 644 M | 673 M | 400 M | 523 M | 511 M | 542 M | 163 M | 237 M | 258 M | 232 M | 193 M | 194 M | 215 M | 225 M | - | - | - | - |
All numbers in USD currency
Indicator range from quarterly reporting
| Maximum | Minimum | Average |
|---|---|---|
| 1.69 B | 163 M | 785 M |
References
- Brockman, C. M., & Russell, J. W. (2012). EBITDA: use it... or lose it?. International Journal of Business, Accounting and Finance, 6(2), 84-93.
EBITDA of other stocks in the Financial data industry
| Issuer | EBITDA | Price | % 24h | Market Cap | Country | |
|---|---|---|---|---|---|---|
|
Московская Биржа
MOEX
|
11.1 B | - | - | - | ||
|
Jefferies Financial Group
JEF
|
192 M | $ 46.21 | 0.98 % | $ 9.94 B | ||
|
Cohen & Company
COHN
|
60.1 M | $ 19.71 | 4.78 % | $ 34.1 M | ||
|
Moody's Corporation
MCO
|
3.83 B | $ 439.61 | 2.88 % | $ 78.7 B | ||
|
FactSet Research Systems
FDS
|
906 M | $ 226.42 | 7.0 % | $ 8.59 B | ||
|
Cboe Global Markets
CBOE
|
1.59 B | $ 300.3 | 1.47 % | $ 31.4 B | ||
|
S&P Global
SPGI
|
4.4 B | $ 430.08 | 3.53 % | $ 104 B | ||
|
Siebert Financial Corp.
SIEB
|
7.96 M | $ 1.74 | -1.69 % | $ 70.2 M | ||
|
Value Line
VALU
|
7.26 M | $ 35.1 | 1.74 % | $ 331 M | ||
|
Voya Financial
VOYA
|
1.14 B | $ 72.04 | 3.0 % | $ 6.9 B | ||
|
B. Riley Financial
RILY
|
111 M | $ 7.64 | 5.67 % | $ 233 M | ||
|
CME Group
CME
|
4.34 B | $ 300.59 | 1.79 % | $ 108 B | ||
|
Morningstar
MORN
|
716 M | $ 176.42 | 5.03 % | $ 7.39 B | ||
|
MSCI
MSCI
|
1.74 B | $ 552.75 | 3.03 % | $ 42.3 B | ||
|
Nasdaq
NDAQ
|
2.48 B | $ 86.15 | 3.6 % | $ 49.4 B |