Msci (MSCI) Shares Outstanding (Diluted) (2009 - 2026)
Msci (MSCI) posted Shares Outstanding (Diluted) of 72.9 million for Q2 2026, down 5.9% from 77.5 million a year earlier and down 0.7% from the prior quarter.
Msci (MSCI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Msci's Shares Outstanding (Diluted) came in at 76.64 million, down 2.9% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for 13 consecutive years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Msci's Shares Outstanding (Diluted) was 78.96 million in FY2024 (-1.1%), 79.84 million in FY2023 (-1.7%), 81.22 million in FY2022 (-2.7%) and 83.48 million in FY2021 (-1.2%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 33 quarters, with an average decline of 3.0% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 0.8% (Q2 2024) and 5.9% (Q2 2026) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 73.4 million (Q1 2026), 76.64 million (Q4 2025) and 76.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 295.50 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 174.50 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 72.90 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 130.85 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 119.20 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 193.70 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 36.19 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 38.10 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 883.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 361.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.90 Mn |
| Mar 31, 2026 | 73.40 Mn |
| Dec 31, 2025 | 76.64 Mn |
| Sep 30, 2025 | 76.58 Mn |
| Jun 30, 2025 | 77.50 Mn |
| Mar 31, 2025 | 77.81 Mn |
| Dec 31, 2024 | 78.96 Mn |
| Sep 30, 2024 | 78.73 Mn |
| Jun 30, 2024 | 79.25 Mn |
| Mar 31, 2024 | 79.51 Mn |
| Dec 31, 2023 | 79.84 Mn |
| Sep 30, 2023 | 79.50 Mn |
| Jun 30, 2023 | 79.91 Mn |
| Mar 31, 2023 | 80.48 Mn |
| Dec 31, 2022 | 81.22 Mn |
| Sep 30, 2022 | 80.87 Mn |
| Jun 30, 2022 | 81.30 Mn |
| Mar 31, 2022 | 82.29 Mn |
| Dec 31, 2021 | 83.48 Mn |
| Sep 30, 2021 | 83.55 Mn |
Msci 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=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MSCI", "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=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();