Moodys (MCO) Shares Outstanding (2009 - 2026)
Moodys (MCO) posted Shares Outstanding of 174.1 million for Q2 2026, down 3.1% from 179.7 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Moodys (MCO) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Moodys' Shares Outstanding came in at 179.1 million, down 1.5% from FY2024.
- Annual Shares Outstanding has declined for seven consecutive years, with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Moodys' Shares Outstanding was 181.8 million in FY2024 (-0.8%), 183.2 million in FY2023 (-0.4%), 183.9 million in FY2022 (-1.3%) and 186.4 million in FY2021 (-0.6%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding 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 in the past five years was Q3 2023, with growth of 0.1%; the weakest was Q2 2026, with a decline of 3.1%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 176.8 million (Q1 2026), 179.1 million (Q4 2025) and 178.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 134.57 Bn | 125.16 Bn | 2.98 Bn | 295.40 Mn |
| 2 | Moodys | 84.96 Bn | 77.25 Bn | 1.67 Bn | 174.10 Mn |
| 3 | Msci | 44.55 Bn | 43.03 Bn | 739.80 Mn | 72.10 Mn |
| 4 | Verisk Analytics | 26.21 Bn | 20.84 Bn | 572.90 Mn | 130.76 Mn |
| 5 | Equifax | 21.78 Bn | 21.05 Bn | 940.10 Mn | 117.30 Mn |
| 6 | TransUnion | 15.94 Bn | 12.76 Bn | - | 192.30 Mn |
| 7 | Factset Research Systems | 12.24 Bn | 11.09 Bn | 308.40 Mn | 36.47 Mn |
| 8 | Morningstar | 8.40 Bn | 6.30 Bn | 423.90 Mn | 37.80 Mn |
| 9 | Mastercard | 553.16 Bn | 513.09 Bn | - | 882.00 Mn |
| 10 | Cme | 110.25 Bn | 98.35 Bn | - | 360.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.10 Mn |
| Mar 31, 2026 | 176.80 Mn |
| Dec 31, 2025 | 179.10 Mn |
| Sep 30, 2025 | 178.90 Mn |
| Jun 30, 2025 | 179.70 Mn |
| Mar 31, 2025 | 180.00 Mn |
| Dec 31, 2024 | 181.80 Mn |
| Sep 30, 2024 | 181.70 Mn |
| Jun 30, 2024 | 182.30 Mn |
| Mar 31, 2024 | 182.60 Mn |
| Dec 31, 2023 | 183.20 Mn |
| Sep 30, 2023 | 183.30 Mn |
| Jun 30, 2023 | 183.50 Mn |
| Mar 31, 2023 | 183.30 Mn |
| Dec 31, 2022 | 183.90 Mn |
| Sep 30, 2022 | 183.20 Mn |
| Jun 30, 2022 | 184.10 Mn |
| Mar 31, 2022 | 185.10 Mn |
| Dec 31, 2021 | 186.40 Mn |
| Sep 30, 2021 | 186.00 Mn |
API Access
Moodys Shares Outstanding 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&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();