Factset Research Systems (FDS) Shares Outstanding (Diluted) (2009 - 2026)
Factset Research Systems' Weighted Average Shares Outstanding (Diluted) came in at 36.61 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 4.6% from 38.39 million a year earlier but up 1.2% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2010, Factset Research Systems' Weighted Average Shares Outstanding (Diluted) data covers 68 quarters.
- Weighted Average Shares Outstanding (Diluted) has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- Going back by fiscal year, Weighted Average Shares Outstanding (Diluted) was 38.39 million in FY2025 (-0.6%), 38.62 million in FY2024 (-0.7%), 38.9 million in FY2023 (+0.4%) and 38.74 million in FY2022 (+0.4%).
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 36.19 million (fiscal Q3 2026) to 38.98 million (fiscal Q2 2023).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has declined for 12 consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in fiscal Q1 2023 (growth of 0.7%), and the weakest in fiscal Q3 2026 (a decline of 5.6%).
- Business Quant data shows FDS's Weighted Average Shares Outstanding (Diluted) at 36.19 million (Q3 2026), 37.06 million (Q2 2026) and 37.62 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 291.60 Mn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 173.30 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 72.30 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 130.85 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 118.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 192.60 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 36.61 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 37.80 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 883.00 Mn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 358.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 36.61 Mn |
| May 31, 2026 | 36.19 Mn |
| Feb 28, 2026 | 37.06 Mn |
| Nov 30, 2025 | 37.62 Mn |
| Aug 31, 2025 | 38.39 Mn |
| May 31, 2025 | 38.34 Mn |
| Feb 28, 2025 | 38.51 Mn |
| Nov 30, 2024 | 38.52 Mn |
| Aug 31, 2024 | 38.62 Mn |
| May 31, 2024 | 38.64 Mn |
| Feb 29, 2024 | 38.65 Mn |
| Nov 30, 2023 | 38.64 Mn |
| Aug 31, 2023 | 38.90 Mn |
| May 31, 2023 | 38.91 Mn |
| Feb 28, 2023 | 38.98 Mn |
| Nov 30, 2022 | 38.91 Mn |
| Aug 31, 2022 | 38.74 Mn |
| May 31, 2022 | 38.72 Mn |
| Feb 28, 2022 | 38.76 Mn |
| Nov 30, 2021 | 38.64 Mn |
API Access
Factset Research Systems Shares Outstanding (Diluted) 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-diluted&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();