Moodys (MCO) Treasury Shares (2009 - 2026)
Moodys (MCO) posted Treasury Shares of $17.2 billion for Q2 2026, up 22.7% from $14.02 billion a year earlier and up 4.2% from the prior quarter.
Analysis
Moodys (MCO) Treasury Shares (2009 - 2026) Analysis & Trends
At the end of FY2025, Moodys' Treasury Shares came in at $14.98 billion, up 12.4% from FY2024.
- Annual Treasury Shares has increased for 13 consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, Moodys' Treasury Shares was $13.32 billion in FY2024 (+11.0%), $12.01 billion in FY2023 (+4.3%), $11.51 billion in FY2022 (+9.5%) and $10.51 billion in FY2021 (+7.8%).
- The Q2 2026 figure stands as the highest quarterly Treasury Shares in data going back to Q2 2009.
- On a year-over-year basis, Treasury Shares has increased in each of the last 41 quarters, with growth averaging 14.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Treasury Shares ran from 2.0% in Q2 2023 to 22.7% in Q2 2026.
- According to Business Quant data, Treasury Shares for the three prior quarters was $16.51 billion (Q1 2026), $14.98 billion (Q4 2025) and $14.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 38.31 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 169.72 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 61.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 413.87 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 71.10 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.40 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 7.45 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 17.57 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 536.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.72 Mn |
| Mar 31, 2026 | 168.23 Mn |
| Dec 31, 2025 | 165.36 Mn |
| Sep 30, 2025 | 164.51 Mn |
| Jun 30, 2025 | 163.54 Mn |
| Mar 31, 2025 | 162.96 Mn |
| Dec 31, 2024 | 162.59 Mn |
| Sep 30, 2024 | 161.67 Mn |
| Jun 30, 2024 | 160.82 Mn |
| Mar 31, 2024 | 160.29 Mn |
| Dec 31, 2023 | 160.43 Mn |
| Sep 30, 2023 | 159.90 Mn |
| Jun 30, 2023 | 159.44 Mn |
| Mar 31, 2023 | 159.40 Mn |
| Dec 31, 2022 | 159.70 Mn |
| Sep 30, 2022 | 159.74 Mn |
| Jun 30, 2022 | 159.36 Mn |
| Mar 31, 2022 | 158.36 Mn |
| Dec 31, 2021 | 157.26 Mn |
| Sep 30, 2021 | 157.00 Mn |
API Access
Moodys Treasury Shares 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=treasury-shares&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();