
Quarterly report 2025-Q1
added 04-29-2025
S&P Global EBITDA 2011-2025 | SPGI
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 S&P Global
| 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 |
|---|---|---|---|---|---|---|---|---|---|---|
| 4.4 B | 3.31 B | 3.38 B | 3 B | 2.79 B | 2.45 B | 2.07 B | 247 M | 1.54 B | 1.33 B | 1.56 B |
All numbers in USD currency
Indicator range from annual reports
| Maximum | Minimum | Average |
|---|---|---|
| 4.4 B | 247 M | 2.37 B |
Quarterly EBITDA S&P Global
| 2025-Q1 | 2024-Q2 | 2024-Q1 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.6 B | 1.48 B | 1.41 B | 1.1 B | 935 M | 1.17 B | - | 884 M | 1.52 B | 1.92 B | - | 1.1 B | 1.18 B | 1.1 B | 656 M | 964 M | 1.12 B | 932 M | 818 M | 911 M | 834 M | 725 M | 704 M | 724 M | 691 M | 732 M | 627 M | 710 M | 707 M | 658 M | 857 M | 1.41 B | 691 M | 530 M | 424 M | 474 M | 625 M | 523 M | -1.15 B | 430 M | 518 M | 441 M | 271 M | 460 M | 468 M | 292 M | 347 M | 344 M | 353 M | 304 M | - | 377 M | 422 M | 248 M |
All numbers in USD currency
Indicator range from quarterly reporting
| Maximum | Minimum | Average |
|---|---|---|
| 1.92 B | -1.15 B | 737 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 | |
|---|---|---|---|---|---|---|
|
CME Group
CME
|
4.05 B | $ 277.41 | -0.57 % | $ 99.7 B | ||
|
Intercontinental Exchange
ICE
|
5.85 B | $ 155.88 | -0.64 % | $ 89.3 B | ||
|
Cboe Global Markets
CBOE
|
1.23 B | $ 254.42 | -0.34 % | $ 26.7 B | ||
|
Московская Биржа
MOEX
|
11.1 B | - | - | - | ||
|
Moody's Corporation
MCO
|
3.31 B | $ 490.18 | 0.6 % | $ 89.1 B | ||
|
Morningstar
MORN
|
675 M | $ 218.2 | 0.84 % | $ 9.34 B | ||
|
MSCI
MSCI
|
1.55 B | $ 551.24 | -1.51 % | $ 43.4 B | ||
|
Nasdaq
NDAQ
|
1.92 B | $ 88.86 | -0.56 % | $ 51.1 B | ||
|
Cohen & Company
COHN
|
7.42 M | $ 17.77 | 6.47 % | $ 26.9 M | ||
|
FactSet Research Systems
FDS
|
906 M | $ 278.67 | 0.5 % | $ 10.6 B | ||
|
B. Riley Financial
RILY
|
-430 M | $ 3.84 | -4.24 % | $ 116 M | ||
|
Siebert Financial Corp.
SIEB
|
20.1 M | $ 3.03 | 0.5 % | $ 112 M | ||
|
Jefferies Financial Group
JEF
|
190 M | $ 57.25 | 0.59 % | $ 12.4 B | ||
|
Value Line
VALU
|
7.26 M | $ 36.48 | 0.66 % | $ 344 M | ||
|
Voya Financial
VOYA
|
96 M | $ 70.09 | -0.77 % | $ 6.95 B |