Factset Research Systems (FDS) Shares Outstanding (Entity) (2009 - 2026)
Factset Research Systems (FDS) recorded Shares Outstanding (Entity) of 35.26 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 6.3% from 37.65 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
Starting with fiscal Q1 2010, Factset Research Systems' Shares Outstanding (Entity) history includes 68 quarters.
- Annual Shares Outstanding (Entity) has declined for four straight fiscal years, with a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 37.65 million in FY2025 (-0.8%), 37.95 million in FY2024 (-0.2%), 38.03 million in FY2023 (-0.1%) and 38.04 million in FY2022 (+1.1%).
- The fiscal Q4 2026 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to fiscal Q1 2010.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for seven consecutive quarters, with an average decline of 2.4% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 1.2% in fiscal Q1 2023, against a decline of 6.3% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 35.78 million (Q3 2026), 36.64 million (Q2 2026) and 37.24 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 289.90 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 172.40 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 71.70 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 130.14 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 117.10 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 190.70 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 35.26 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 37.10 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 865.60 Mn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 357.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 35.26 Mn |
| May 31, 2026 | 35.78 Mn |
| Feb 28, 2026 | 36.64 Mn |
| Nov 30, 2025 | 37.24 Mn |
| Aug 31, 2025 | 37.65 Mn |
| May 31, 2025 | 37.86 Mn |
| Feb 28, 2025 | 37.99 Mn |
| Nov 30, 2024 | 38.05 Mn |
| Aug 31, 2024 | 37.95 Mn |
| May 31, 2024 | 38.07 Mn |
| Feb 29, 2024 | 38.12 Mn |
| Nov 30, 2023 | 38.06 Mn |
| Aug 31, 2023 | 38.03 Mn |
| May 31, 2023 | 38.21 Mn |
| Feb 28, 2023 | 38.31 Mn |
| Nov 30, 2022 | 38.21 Mn |
| Aug 31, 2022 | 38.04 Mn |
| May 31, 2022 | 37.97 Mn |
| Feb 28, 2022 | 37.88 Mn |
| Nov 30, 2021 | 37.77 Mn |
API Access
Factset Research Systems Shares Outstanding (Entity) 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-outstanding-entity&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-outstanding-entity&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();