S&P Global (SPGI) EPS (Diluted) (2009 - 2026)
S&P Global's EPS (Diluted) came in at $4.12 for Q2 2026, up 17.6% from $3.50 a year earlier but down 12.1% from the prior quarter.
Powered by 
Analysis
S&P Global (SPGI) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, S&P Global reported EPS (Diluted) of $16.66, up 27.1% year-over-year; for FY2025, it came in at $14.65, up 18.7% from FY2024.
- EPS (Diluted) carries a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Going back by year, EPS (Diluted) was $12.35 in FY2024 (+50.0%), $8.23 in FY2023 (-19.3%), $10.20 in FY2022 (-18.5%) and $12.51 in FY2021 (+29.4%).
- The five-year range for quarterly EPS (Diluted) is $1.36 (Q4 2022) to $4.69 (Q1 2026).
- Year-over-year, EPS (Diluted) has increased for 12 consecutive quarters, with growth averaging 26.9% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in Q2 2024 (growth of 102.0%), and the weakest in Q4 2022 (a decline of 51.3%).
- Business Quant data shows SPGI's EPS (Diluted) at $4.69 (Q1 2026), $3.72 (Q4 2025) and $3.86 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 4.12 |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 5.03 |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 4.69 |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 1.75 |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 1.54 |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 0.74 |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 3.50 |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 2.83 |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 4.97 |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 2.88 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 |
| Mar 31, 2026 | 4.69 |
| Dec 31, 2025 | 3.72 |
| Sep 30, 2025 | 3.86 |
| Jun 30, 2025 | 3.50 |
| Mar 31, 2025 | 3.54 |
| Dec 31, 2024 | 2.82 |
| Sep 30, 2024 | 3.12 |
| Jun 30, 2024 | 3.23 |
| Mar 31, 2024 | 3.16 |
| Dec 31, 2023 | 1.82 |
| Sep 30, 2023 | 2.33 |
| Jun 30, 2023 | 1.60 |
| Mar 31, 2023 | 2.47 |
| Dec 31, 2022 | 1.36 |
| Sep 30, 2022 | 1.84 |
| Jun 30, 2022 | 2.86 |
| Mar 31, 2022 | 4.47 |
| Dec 31, 2021 | 2.79 |
| Sep 30, 2021 | 3.30 |
API Access
S&P Global EPS (Diluted) 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=eps-diluted&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();