Moodys (MCO) Shares Outstanding (Entity) (2009 - 2026)
Moodys' Shares Outstanding (Entity) came in at 173.2 million for Q2 2026, down 3.5% from 179.4 million a year earlier and down 0.9% from the prior quarter.
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Analysis
Moodys (MCO) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Moodys' Shares Outstanding (Entity) was 177.3 million, down 1.5% from FY2024.
- Shares Outstanding (Entity) has declined in each of the last seven years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 180 million in FY2024 (-1.4%), 182.5 million in FY2023 (-0.4%), 183.2 million in FY2022 (-1.1%) and 185.2 million in FY2021 (-1.0%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) in data going back to Q1 2009.
- Year-over-year, Shares Outstanding (Entity) has declined for 12 consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Entity) has ranged between 0.0% (Q2 2023) and 3.5% (Q2 2026) over the last five years.
- Business Quant data shows MCO's Shares Outstanding (Entity) at 174.7 million (Q1 2026), 177.3 million (Q4 2025) and 178.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.20 Mn |
| Mar 31, 2026 | 174.70 Mn |
| Dec 31, 2025 | 177.30 Mn |
| Sep 30, 2025 | 178.40 Mn |
| Jun 30, 2025 | 179.40 Mn |
| Mar 31, 2025 | 179.90 Mn |
| Dec 31, 2024 | 180.00 Mn |
| Sep 30, 2024 | 181.20 Mn |
| Jun 30, 2024 | 182.10 Mn |
| Mar 31, 2024 | 182.60 Mn |
| Dec 31, 2023 | 182.50 Mn |
| Sep 30, 2023 | 183.00 Mn |
| Jun 30, 2023 | 183.50 Mn |
| Mar 31, 2023 | 183.50 Mn |
| Dec 31, 2022 | 183.20 Mn |
| Sep 30, 2022 | 183.20 Mn |
| Jun 30, 2022 | 183.50 Mn |
| Mar 31, 2022 | 184.50 Mn |
| Dec 31, 2021 | 185.20 Mn |
| Sep 30, 2021 | 185.90 Mn |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();