Morningstar (MORN) Shares Outstanding (Diluted) (2009 - 2026)
Morningstar (MORN) recorded Shares Outstanding (Diluted) of 38.1 million in Q2 2026, down 10.4% from 42.5 million a year earlier and down 3.1% from the prior quarter.
Morningstar (MORN) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Morningstar reported Shares Outstanding (Diluted) of 42.2 million, down 2.1% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 43.1 million in FY2024 (+0.5%), 42.9 million in FY2023 (unchanged), 42.9 million in FY2022 (-1.2%) and 43.4 million in FY2021 (+0.5%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for five consecutive quarters, with an average decline of 2.9% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.7% in Q2 2024, against a decline of 10.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 39.3 million (Q1 2026), 42.2 million (Q4 2025) and 42.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | 295.50 Mn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | 174.50 Mn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | 72.90 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | 130.85 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | 119.20 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | 193.70 Mn |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | 36.19 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | 38.10 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 883.00 Mn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | 361.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.10 Mn |
| Mar 31, 2026 | 39.30 Mn |
| Dec 31, 2025 | 42.20 Mn |
| Sep 30, 2025 | 42.30 Mn |
| Jun 30, 2025 | 42.50 Mn |
| Mar 31, 2025 | 43.10 Mn |
| Dec 31, 2024 | 43.10 Mn |
| Sep 30, 2024 | 43.20 Mn |
| Jun 30, 2024 | 43.10 Mn |
| Mar 31, 2024 | 43.00 Mn |
| Dec 31, 2023 | 42.90 Mn |
| Sep 30, 2023 | 42.90 Mn |
| Jun 30, 2023 | 42.80 Mn |
| Mar 31, 2023 | 42.80 Mn |
| Dec 31, 2022 | 42.90 Mn |
| Sep 30, 2022 | 42.70 Mn |
| Jun 30, 2022 | 42.90 Mn |
| Mar 31, 2022 | 43.30 Mn |
| Dec 31, 2021 | 43.40 Mn |
| Sep 30, 2021 | 43.40 Mn |
Morningstar 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=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MORN", "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=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();