Factset Research Systems (FDS) Market Capitalization (2009 - 2026)
Factset Research Systems' Market Capitalization came in at $8.78 billion for fiscal Q3 2026 (quarter ended May 31, 2026), down 49.4% from $17.35 billion a year earlier but up 10.6% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Factset Research Systems' Market Capitalization was $14.05 billion, down 12.4% from FY2024.
- Market Capitalization carries a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Going back by fiscal year, Market Capitalization was $16.05 billion in FY2024 (-3.3%), $16.59 billion in FY2023 (+0.7%), $16.49 billion in FY2022 (+15.3%) and $14.3 billion in FY2021 (+7.3%).
- The five-year range for quarterly Market Capitalization is $7.94 billion (fiscal Q2 2026) to $18.67 billion (fiscal Q1 2025).
- Year-over-year, Market Capitalization has declined for four consecutive quarters, with an average decline of 18.0% over the last eight quarters.
- The fastest year-over-year change in Market Capitalization over five years came in fiscal Q1 2022 (growth of 39.5%), and the weakest in fiscal Q2 2026 (a decline of 54.7%).
- Business Quant data shows FDS's Market Capitalization at $7.94 billion (Q2 2026), $10.33 billion (Q1 2026) and $14.05 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 8.78 Bn |
| Feb 28, 2026 | 7.94 Bn |
| Nov 30, 2025 | 10.33 Bn |
| Aug 31, 2025 | 14.05 Bn |
| May 31, 2025 | 17.35 Bn |
| Feb 28, 2025 | 17.54 Bn |
| Nov 30, 2024 | 18.67 Bn |
| Aug 31, 2024 | 16.05 Bn |
| May 31, 2024 | 15.39 Bn |
| Feb 29, 2024 | 17.63 Bn |
| Nov 30, 2023 | 17.26 Bn |
| Aug 31, 2023 | 16.59 Bn |
| May 31, 2023 | 14.71 Bn |
| Feb 28, 2023 | 15.88 Bn |
| Nov 30, 2022 | 17.63 Bn |
| Aug 31, 2022 | 16.49 Bn |
| May 31, 2022 | 14.50 Bn |
| Feb 28, 2022 | 15.38 Bn |
| Nov 30, 2021 | 17.70 Bn |
| Aug 31, 2021 | 14.30 Bn |
API Access
Factset Research Systems Market Capitalization 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=market-capitalization&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();