S&P Global (SPGI) Price to Earnings (2009 - 2026)
S&P Global's (SPGI) Price to Earnings was 23.08 for Q2 2026, down 39.2% from 37.95 a year earlier and down 7.4% from the prior quarter.
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Analysis
S&P Global (SPGI) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at S&P Global was 33.04, down 12.2% from FY2024.
- By year, Price to Earnings came in at 37.65 in FY2024 (-24.5%), 49.85 in FY2023 (+58.7%), 31.41 in FY2022 (-11.7%) and 35.58 in FY2021 (+11.2%).
- The Q2 2026 figure ranks as the lowest quarterly Price to Earnings since Q4 2018.
- Year over year, Price to Earnings has now declined in each of the last nine quarters, with an average decline of 19.5% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was Q2 2023 (growth of 76.5%); the low point was Q2 2026 (a decline of 39.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 24.93 (Q1 2026), 33.03 (Q4 2025) and 33.12 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.08 |
| Mar 31, 2026 | 24.93 |
| Dec 31, 2025 | 33.03 |
| Sep 30, 2025 | 33.12 |
| Jun 30, 2025 | 37.95 |
| Mar 31, 2025 | 37.31 |
| Dec 31, 2024 | 37.64 |
| Sep 30, 2024 | 42.70 |
| Jun 30, 2024 | 39.74 |
| Mar 31, 2024 | 44.64 |
| Dec 31, 2023 | 49.83 |
| Sep 30, 2023 | 44.14 |
| Jun 30, 2023 | 51.42 |
| Mar 31, 2023 | 37.26 |
| Dec 31, 2022 | 31.41 |
| Sep 30, 2022 | 26.97 |
| Jun 30, 2022 | 29.14 |
| Mar 31, 2022 | 30.47 |
| Dec 31, 2021 | 35.57 |
| Sep 30, 2021 | 34.55 |
API Access
S&P Global Price to Earnings 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=price-to-earnings&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();