S&P Global (SPGI) EBITDA Margin (2009 - 2026)
S&P Global's EBITDA Margin was 51.11% in Q2 2026, up 1.92 percentage points from 49.19% a year earlier but down 4.25 percentage points from the prior quarter.
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Analysis
S&P Global (SPGI) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&P Global's EBITDA Margin was 51.91% through Jun 30, 2026, up 3.92 percentage points year-over-year; for FY2025, it came in at 49.93%, up 2.40 percentage points from FY2024.
- EBITDA Margin shows a five-year change of -1.44 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 47.53% in FY2024 (+6.22 pp), 41.31% in FY2023 (-11.96 pp), 53.28% in FY2022 (+0.26 pp) and 53.02% in FY2021 (+1.65 pp).
- Quarterly EBITDA Margin has moved between 33.74% (Q4 2022) and 84.93% (Q1 2022) over five years.
- Compared with a year earlier, EBITDA Margin has increased for 12 straight quarters, with an average year-over-year change of +3.63 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2022 (a gain of 28.83 percentage points); the worst was Q1 2023 (a drop of 39.65 percentage points).
- Per Business Quant data, SPGI's EBITDA Margin in the three quarters before Q2 2026 was 55.36% (Q1 2026), 50.33% (Q4 2025) and 50.64% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 51.11% |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 53.64% |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 62.00% |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 55.10% |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 29.74% |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 31.96% |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 34.06% |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 32.28% |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 70.99% |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 69.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.11% |
| Mar 31, 2026 | 55.36% |
| Dec 31, 2025 | 50.33% |
| Sep 30, 2025 | 50.64% |
| Jun 30, 2025 | 49.19% |
| Mar 31, 2025 | 49.54% |
| Dec 31, 2024 | 44.79% |
| Sep 30, 2024 | 48.31% |
| Jun 30, 2024 | 49.11% |
| Mar 31, 2024 | 47.89% |
| Dec 31, 2023 | 37.44% |
| Sep 30, 2023 | 43.97% |
| Jun 30, 2023 | 38.57% |
| Mar 31, 2023 | 45.28% |
| Dec 31, 2022 | 33.74% |
| Sep 30, 2022 | 40.23% |
| Jun 30, 2022 | 59.64% |
| Mar 31, 2022 | 84.93% |
| Dec 31, 2021 | 45.26% |
| Sep 30, 2021 | 53.86% |
API Access
S&P Global EBITDA Margin 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=ebitda-margin&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "SPGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();