Factset Research Systems (FDS) FCF Margin (2009 - 2026)
Factset Research Systems' FCF Margin was 40.78% in fiscal Q3 2026 (quarter ended May 31, 2026), up 1.74 percentage points from 39.04% a year earlier and up 10.39 percentage points from the prior quarter.
Factset Research Systems (FDS) FCF Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Factset Research Systems' FCF Margin was 29.05% through May 31, 2026, up 3.84 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 26.59%, down 1.31 percentage points from FY2024.
- FCF Margin shows a five-year change of -2.06 percentage points (FY2020 to FY2025).
- In earlier fiscal years, FCF Margin was 27.90% in FY2024 (-0.14 pp), 28.04% in FY2023 (+1.62 pp), 26.42% in FY2022 (-4.62 pp) and 31.03% in FY2021 (+2.38 pp).
- The fiscal Q3 2026 figure marks the highest quarterly FCF Margin since fiscal Q4 2021.
- Compared with a year earlier, FCF Margin has increased for four straight quarters, with an average year-over-year change of -0.05 percentage points over the last eight quarters.
- The best year-over-year quarter for FCF Margin over five years was fiscal Q1 2024 (a gain of 8.01 percentage points); the worst was fiscal Q1 2025 (a drop of 14.94 percentage points).
- Per Business Quant data, FDS's FCF Margin in the three fiscal quarters before Q3 2026 was 30.39% (Q2 2026), 14.88% (Q1 2026) and 29.84% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 33.79% |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 31.49% |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 41.50% |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 36.95% |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 12.05% |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 23.34% |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 40.78% |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 18.47% |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 37.53% |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 54.13% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 40.78% |
| Feb 28, 2026 | 30.39% |
| Nov 30, 2025 | 14.88% |
| Aug 31, 2025 | 29.84% |
| May 31, 2025 | 39.04% |
| Feb 28, 2025 | 26.32% |
| Nov 30, 2024 | 10.64% |
| Aug 31, 2024 | 24.41% |
| May 31, 2024 | 39.24% |
| Feb 29, 2024 | 22.32% |
| Nov 30, 2023 | 25.58% |
| Aug 31, 2023 | 29.17% |
| May 31, 2023 | 36.35% |
| Feb 28, 2023 | 28.58% |
| Nov 30, 2022 | 17.57% |
| Aug 31, 2022 | 27.27% |
| May 31, 2022 | 36.13% |
| Feb 28, 2022 | 25.53% |
| Nov 30, 2021 | 15.15% |
| Aug 31, 2021 | 41.53% |
Factset Research Systems FCF Margin 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=fcf-margin&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();