Moodys (MCO) Shares Outstanding (Diluted) (2009 - 2026)
Moodys (MCO) posted Shares Outstanding (Diluted) of 174.5 million for Q2 2026, down 3.2% from 180.2 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Moodys (MCO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Moodys' Shares Outstanding (Diluted) came in at 179.9 million, down 1.5% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for seven consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Moodys' Shares Outstanding (Diluted) was 182.7 million in FY2024 (-0.7%), 184 million in FY2023 (-0.4%), 184.7 million in FY2022 (-1.7%) and 187.9 million in FY2021 (-0.7%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 11 quarters, with an average decline of 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2023, with growth of 0.1%; the weakest was Q2 2026, with a decline of 3.2%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 177.3 million (Q1 2026), 179.9 million (Q4 2025) and 179.6 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.50 Mn |
| Mar 31, 2026 | 177.30 Mn |
| Dec 31, 2025 | 179.90 Mn |
| Sep 30, 2025 | 179.60 Mn |
| Jun 30, 2025 | 180.20 Mn |
| Mar 31, 2025 | 180.70 Mn |
| Dec 31, 2024 | 182.70 Mn |
| Sep 30, 2024 | 182.50 Mn |
| Jun 30, 2024 | 183.00 Mn |
| Mar 31, 2024 | 183.40 Mn |
| Dec 31, 2023 | 184.00 Mn |
| Sep 30, 2023 | 184.00 Mn |
| Jun 30, 2023 | 184.10 Mn |
| Mar 31, 2023 | 184.10 Mn |
| Dec 31, 2022 | 184.70 Mn |
| Sep 30, 2022 | 183.90 Mn |
| Jun 30, 2022 | 184.90 Mn |
| Mar 31, 2022 | 186.10 Mn |
| Dec 31, 2021 | 187.90 Mn |
| Sep 30, 2021 | 187.30 Mn |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MCO", "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=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();