Msci (MSCI) Shares Repurchased (2009 - 2026)
Msci's Shares Repurchased was $552.6 million in Q3 2026, down 54.9% from $1.23 billion a year earlier but up 228.1% from the prior quarter.
Msci (MSCI) Shares Repurchased (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Msci's Shares Repurchased was $2.04 billion through Sep 30, 2026, up 4.7% year-over-year; for FY2025, it came in at $2.48 billion, up 180.6% from FY2024.
- Shares Repurchased shows a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In earlier years, Shares Repurchased was $885.27 million in FY2024 (+75.6%), $504.19 million in FY2023 (-63.9%), $1.4 billion in FY2022 (+604.5%) and $198.37 million in FY2021 (-74.5%).
- Quarterly Shares Repurchased has moved between $27,000 (Q4 2023) and $1.23 billion (Q3 2025) over five years.
- Compared with a year earlier, Shares Repurchased was higher in five of the last seven quarters, with growth averaging 125.7%.
- The best year-over-year quarter for Shares Repurchased over five years was Q3 2024 (growth of 964.4%); the worst was Q4 2023 (a decline of 100.0%).
- Per Business Quant data, MSCI's Shares Repurchased in the three quarters before Q3 2026 was $168.4 million (Q2 2026), $414.8 million (Q1 2026) and $906.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Repurchased (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 2.60 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 388.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 552.60 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 170.10 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 92.00 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 128.80 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 137.96 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 100.00 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 2.96 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 552.60 Mn |
| Jun 30, 2026 | 168.40 Mn |
| Mar 31, 2026 | 414.80 Mn |
| Dec 31, 2025 | 906.81 Mn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 138.50 Mn |
| Mar 31, 2025 | 213.10 Mn |
| Dec 31, 2024 | 374.05 Mn |
| Sep 30, 2024 | 199.51 Mn |
| Jun 30, 2024 | 241.72 Mn |
| Mar 31, 2024 | 69.99 Mn |
| Dec 31, 2023 | 27,000.00 |
| Sep 30, 2023 | 18.74 Mn |
| Jun 30, 2023 | 441.46 Mn |
| Mar 31, 2023 | 43.96 Mn |
| Dec 31, 2022 | 70.21 Mn |
| Sep 30, 2022 | 168.79 Mn |
| Jun 30, 2022 | 280.86 Mn |
| Mar 31, 2022 | 877.66 Mn |
| Dec 31, 2021 | 5.31 Mn |
Msci Shares Repurchased 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-repurchased&ticker=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "ticker": "MSCI", "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-repurchased&ticker=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();