Factset Research Systems (FDS) Market Capitalization (2009 - 2026)
Factset Research Systems' Market Capitalization came in at $11.05 billion for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 21.3% from $14.05 billion a year earlier but up 25.9% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Market Capitalization (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2010, Factset Research Systems' Market Capitalization data covers 68 quarters.
- Market Capitalization has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -5.0% (FY2021 to FY2026).
- Going back by fiscal year, Market Capitalization was $14.05 billion in FY2025 (-12.4%), $16.05 billion in FY2024 (-3.3%), $16.59 billion in FY2023 (+0.7%) and $16.49 billion in FY2022 (+15.3%).
- 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 five consecutive quarters, with an average decline of 20.3% 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 $8.78 billion (Q3 2026), $7.94 billion (Q2 2026) and $10.33 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 11.05 Bn |
| 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 |
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();