Factset Research Systems (FDS) Treasury Stock (2009 - 2026)
Factset Research Systems (FDS) posted Treasury Shares of 8 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 49.1% from 5.37 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Treasury Stock (2009 - 2026) Analysis & Trends
Since fiscal Q4 2010, Factset Research Systems has reported Treasury Shares for 65 quarters.
- Annual Treasury Shares has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- In prior fiscal years, Factset Research Systems' Treasury Shares was 5.37 million in FY2025 (+15.5%), 4.65 million in FY2024 (+14.1%), 4.07 million in FY2023 (+12.8%) and 3.61 million in FY2022 (+1.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Treasury Shares since fiscal Q1 2018.
- On a year-over-year basis, Treasury Shares has increased in each of the last 30 quarters, with growth averaging 25.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Treasury Shares ran from 0.9% in fiscal Q1 2023 to 49.1% in fiscal Q4 2026.
- According to Business Quant data, Treasury Shares for the three prior fiscal quarters was 7.45 million (Q3 2026), 6.52 million (Q2 2026) and 5.87 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 10.96 Bn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 40.41 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 17.59 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 12.66 Bn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 4.23 Bn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 428.90 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 2.35 Bn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 2.29 Bn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 95.20 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.35 Bn |
| May 31, 2026 | 2.21 Bn |
| Feb 28, 2026 | 2.01 Bn |
| Nov 30, 2025 | 1.84 Bn |
| Aug 31, 2025 | 1.70 Bn |
| May 31, 2025 | 1.59 Bn |
| Feb 28, 2025 | 1.50 Bn |
| Nov 30, 2024 | 1.44 Bn |
| Aug 31, 2024 | 1.38 Bn |
| May 31, 2024 | 1.31 Bn |
| Feb 29, 2024 | 1.25 Bn |
| Nov 30, 2023 | 1.20 Bn |
| Aug 31, 2023 | 1.12 Bn |
| May 31, 2023 | 1.01 Bn |
| Feb 28, 2023 | 942.50 Mn |
| Nov 30, 2022 | 941.71 Mn |
| Aug 31, 2022 | 930.72 Mn |
| May 31, 2022 | 927.82 Mn |
| Feb 28, 2022 | 927.81 Mn |
| Nov 30, 2021 | 927.51 Mn |
API Access
Factset Research Systems Treasury Stock 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=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();