Factset Research Systems (FDS) Treasury Shares (2010 - 2026)
Factset Research Systems (FDS) posted Treasury Shares of $2.21 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 39.5% from $1.59 billion a year earlier and up 10.2% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Treasury Shares (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems' Treasury Shares came in at $1.7 billion, up 23.2% from FY2024.
- Annual Treasury Shares has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior fiscal years, Factset Research Systems' Treasury Shares was $1.38 billion in FY2024 (+22.6%), $1.12 billion in FY2023 (+20.6%), $930.72 million in FY2022 (+2.7%) and $905.92 million in FY2021 (+42.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Treasury Shares in data going back to fiscal Q4 2010.
- On a year-over-year basis, Treasury Shares has increased in each of the last 29 quarters, with growth averaging 26.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Treasury Shares ran from 1.5% in fiscal Q1 2023 to 42.2% in fiscal Q4 2021.
- According to Business Quant data, Treasury Shares for the three prior fiscal quarters was $2.01 billion (Q2 2026), $1.84 billion (Q1 2026) and $1.7 billion (Q4 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 |
|---|---|
| May 31, 2026 | 7.45 Mn |
| Feb 28, 2026 | 6.52 Mn |
| Nov 30, 2025 | 5.87 Mn |
| Aug 31, 2025 | 5.37 Mn |
| May 31, 2025 | 5.10 Mn |
| Feb 28, 2025 | 4.92 Mn |
| Nov 30, 2024 | 4.78 Mn |
| Aug 31, 2024 | 4.65 Mn |
| May 31, 2024 | 4.49 Mn |
| Feb 29, 2024 | 4.35 Mn |
| Nov 30, 2023 | 4.24 Mn |
| Aug 31, 2023 | 4.07 Mn |
| May 31, 2023 | 3.80 Mn |
| Feb 28, 2023 | 3.64 Mn |
| Nov 30, 2022 | 3.63 Mn |
| Aug 31, 2022 | 3.61 Mn |
| May 31, 2022 | 3.60 Mn |
| Feb 28, 2022 | 3.60 Mn |
| Nov 30, 2021 | 3.60 Mn |
| Aug 31, 2021 | 3.55 Mn |
API Access
Factset Research Systems 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=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();