Factset Research Systems (FDS) Shares Repurchased (2009 - 2026)
Factset Research Systems' Shares Repurchased was $137.96 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), up 29.4% from $106.62 million a year earlier but down 32.1% from the prior quarter.
Factset Research Systems (FDS) Shares Repurchased (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Shares Repurchased at Factset Research Systems came in at $643.96 million, up 114.3% from FY2025.
- Shares Repurchased has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 19.5% (FY2021 to FY2026).
- In earlier fiscal years, Shares Repurchased was $300.46 million in FY2025 (+27.7%), $235.24 million in FY2024 (+33.1%), $176.72 million in FY2023 (+848.1%) and $18.64 million in FY2022 (-93.0%).
- Quarterly Shares Repurchased has moved between $18.64 million (fiscal Q1 2022) and $203.07 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Shares Repurchased has increased for seven straight quarters, with growth averaging 78.6% over the last eight quarters.
- The best year-over-year quarter for Shares Repurchased over five years was fiscal Q1 2026 (growth of 186.7%); the worst was fiscal Q1 2022 (a decline of 56.8%).
- Per Business Quant data, FDS's Shares Repurchased in the three fiscal quarters before Q4 2026 was $203.07 million (Q3 2026), $163.03 million (Q2 2026) and $139.9 million (Q1 2026).
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 |
|---|---|
| Aug 31, 2026 | 137.96 Mn |
| May 31, 2026 | 203.07 Mn |
| Feb 28, 2026 | 163.03 Mn |
| Nov 30, 2025 | 139.90 Mn |
| Aug 31, 2025 | 106.62 Mn |
| May 31, 2025 | 80.70 Mn |
| Feb 28, 2025 | 64.35 Mn |
| Nov 30, 2024 | 48.79 Mn |
| Aug 31, 2024 | 63.32 Mn |
| May 31, 2024 | 59.75 Mn |
| Feb 29, 2024 | 52.26 Mn |
| Nov 30, 2023 | 59.91 Mn |
| Aug 31, 2023 | 109.63 Mn |
| May 31, 2023 | 67.09 Mn |
| Nov 30, 2021 | 18.64 Mn |
| Aug 31, 2021 | 92.49 Mn |
| May 31, 2021 | 57.57 Mn |
| Feb 28, 2021 | 71.50 Mn |
| Nov 30, 2020 | 43.14 Mn |
| Aug 31, 2020 | 28.62 Mn |
Factset Research Systems 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=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "ticker": "FDS", "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=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();