S&P Global (SPGI) EV to EBITDA (2009 - 2026)
S&P Global's (SPGI) EV to EBITDA was 13.68 for Q2 2026, down 37.7% from 21.96 a year earlier and down 9.4% from the prior quarter.
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Analysis
S&P Global (SPGI) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&P Global's EV to EBITDA came in at 13.05, down 38.6% year-over-year; for FY2025, it was 19.70, down 9.8% from FY2024.
- By year, EV to EBITDA came in at 21.85 in FY2024 (-15.4%), 25.83 in FY2023 (+48.0%), 17.45 in FY2022 (-26.6%) and 23.76 in FY2021 (+23.6%).
- The Q2 2026 figure ranks as the lowest quarterly EV to EBITDA since Q4 2018.
- Year over year, EV to EBITDA has now declined in each of the last seven quarters, with an average decline of 14.4% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was Q4 2023 (growth of 48.0%); the low point was Q2 2026 (a decline of 37.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 15.10 (Q1 2026), 19.70 (Q4 2025) and 19.53 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.68 |
| Mar 31, 2026 | 15.10 |
| Dec 31, 2025 | 19.70 |
| Sep 30, 2025 | 19.53 |
| Jun 30, 2025 | 21.96 |
| Mar 31, 2025 | 21.61 |
| Dec 31, 2024 | 21.86 |
| Sep 30, 2024 | 24.40 |
| Jun 30, 2024 | 22.53 |
| Mar 31, 2024 | 23.74 |
| Dec 31, 2023 | 25.83 |
| Sep 30, 2023 | 22.39 |
| Jun 30, 2023 | 25.71 |
| Mar 31, 2023 | 19.90 |
| Dec 31, 2022 | 17.45 |
| Sep 30, 2022 | 16.22 |
| Jun 30, 2022 | 18.18 |
| Mar 31, 2022 | 19.98 |
| Dec 31, 2021 | 23.76 |
| Sep 30, 2021 | 22.62 |
API Access
S&P Global EV to EBITDA 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=ev-to-ebitda&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();