S&P Global (SPGI) Shares Outstanding (Entity) (2009 - 2026)
S&P Global (SPGI) posted Shares Outstanding (Entity) of 294.8 million for Q2 2026, down 3.4% from 305.3 million a year earlier and down 0.4% from the prior quarter.
S&P Global (SPGI) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, S&P Global's Shares Outstanding (Entity) came in at 298.8 million, down 2.9% from FY2024.
- Annual Shares Outstanding (Entity) has declined for three consecutive years, though with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, S&P Global's Shares Outstanding (Entity) was 307.8 million in FY2024 (-2.0%), 314.1 million in FY2023 (-2.4%), 321.9 million in FY2022 (+33.6%) and 241 million in FY2021 (+0.2%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q1 2022.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last 13 quarters, with an average decline of 2.6% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q2 2022, with growth of 39.5%; the weakest was Q2 2023, with a decline of 5.4%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 296 million (Q1 2026), 298.8 million (Q4 2025) and 303.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 294.80 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 173.20 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 72.70 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 130.14 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 117.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 191.60 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 35.78 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 37.51 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 870.70 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 359.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 294.80 Mn |
| Mar 31, 2026 | 296.00 Mn |
| Dec 31, 2025 | 298.80 Mn |
| Sep 30, 2025 | 303.40 Mn |
| Jun 30, 2025 | 305.30 Mn |
| Mar 31, 2025 | 306.70 Mn |
| Dec 31, 2024 | 307.80 Mn |
| Sep 30, 2024 | 310.30 Mn |
| Jun 30, 2024 | 313.00 Mn |
| Mar 31, 2024 | 313.10 Mn |
| Dec 31, 2023 | 314.10 Mn |
| Sep 30, 2023 | 316.80 Mn |
| Jun 30, 2023 | 318.20 Mn |
| Mar 31, 2023 | 320.80 Mn |
| Dec 31, 2022 | 321.90 Mn |
| Sep 30, 2022 | 325.80 Mn |
| Jun 30, 2022 | 336.20 Mn |
| Mar 31, 2022 | 275.20 Mn |
| Dec 31, 2021 | 241.00 Mn |
| Sep 30, 2021 | 241.00 Mn |
S&P Global Shares Outstanding (Entity) 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-entity&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();