S&P Global (SPGI) Shares Outstanding (Diluted) (2009 - 2026)
S&P Global's Weighted Average Shares Outstanding (Diluted) was 295.5 million in Q3 2026, down 3.0% from 304.5 million a year earlier and unchanged from the prior quarter.
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Analysis
S&P Global (SPGI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at S&P Global came in at 305.1 million, down 2.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 311.9 million in FY2024 (-2.2%), 318.9 million in FY2023 (+0.1%), 318.5 million in FY2022 (+31.7%) and 241.8 million in FY2021 (-0.1%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 241.8 million (Q4 2021) and 339.3 million (Q2 2022) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 11 straight quarters, with an average decline of 2.6% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q2 2022 (growth of 40.3%); the worst was Q2 2023 (a decline of 5.7%).
- Per Business Quant data, SPGI's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 295.5 million (Q2 2026), 297.6 million (Q1 2026) and 305.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 291.60 Mn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 173.30 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 72.30 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 130.85 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 118.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 192.60 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 36.61 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 37.80 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 883.00 Mn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 358.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 291.60 Mn |
| Jun 30, 2026 | 295.50 Mn |
| Mar 31, 2026 | 297.60 Mn |
| Dec 31, 2025 | 305.10 Mn |
| Sep 30, 2025 | 304.50 Mn |
| Jun 30, 2025 | 306.10 Mn |
| Mar 31, 2025 | 307.70 Mn |
| Dec 31, 2024 | 311.90 Mn |
| Sep 30, 2024 | 311.50 Mn |
| Jun 30, 2024 | 313.20 Mn |
| Mar 31, 2024 | 314.00 Mn |
| Dec 31, 2023 | 318.90 Mn |
| Sep 30, 2023 | 318.00 Mn |
| Jun 30, 2023 | 319.80 Mn |
| Mar 31, 2023 | 322.10 Mn |
| Dec 31, 2022 | 318.50 Mn |
| Sep 30, 2022 | 330.90 Mn |
| Jun 30, 2022 | 339.30 Mn |
| Mar 31, 2022 | 276.30 Mn |
| Dec 31, 2021 | 241.80 Mn |
API Access
S&P Global Shares Outstanding (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=shares-outstanding-diluted&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();