Factset Research Systems (FDS) EV to FCF (2010 - 2026)
Factset Research Systems' EV to FCF was 11.97 in fiscal Q3 2026 (quarter ended May 31, 2026), down 59.4% from 29.46 a year earlier but up 6.7% from the prior quarter.
Factset Research Systems (FDS) EV to FCF (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Factset Research Systems' EV to FCF was 10.65 through May 31, 2026, down 61.2% year-over-year; for FY2025 (ended Aug 31, 2025), it was 22.19, down 12.3% from FY2024.
- EV to FCF has now declined for three consecutive fiscal years.
- In earlier fiscal years, EV to FCF was 25.31 in FY2024 (-8.3%), 27.59 in FY2023 (-15.7%), 32.74 in FY2022 (+19.0%) and 27.50 in FY2021 (-7.4%).
- Quarterly EV to FCF has moved between 11.22 (fiscal Q2 2026) and 34.87 (fiscal Q1 2022) over five years.
- Compared with a year earlier, EV to FCF has declined for four straight quarters, with an average decline of 16.9% over the last eight quarters.
- The best year-over-year quarter for EV to FCF over five years was fiscal Q2 2022 (growth of 39.3%); the worst was fiscal Q2 2026 (a decline of 63.3%).
- Per Business Quant data, FDS's EV to FCF in the three fiscal quarters before Q3 2026 was 11.22 (Q2 2026), 15.50 (Q1 2026) and 22.19 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 11.97 |
| Feb 28, 2026 | 11.22 |
| Nov 30, 2025 | 15.50 |
| Aug 31, 2025 | 22.19 |
| May 31, 2025 | 29.46 |
| Feb 28, 2025 | 30.55 |
| Nov 30, 2024 | 34.13 |
| Aug 31, 2024 | 25.31 |
| May 31, 2024 | 23.46 |
| Feb 29, 2024 | 28.20 |
| Nov 30, 2023 | 26.49 |
| Aug 31, 2023 | 27.59 |
| May 31, 2023 | 25.12 |
| Feb 28, 2023 | 28.08 |
| Nov 30, 2022 | 33.55 |
| Aug 31, 2022 | 32.74 |
| May 31, 2022 | 26.70 |
| Feb 28, 2022 | 31.20 |
| Nov 30, 2021 | 34.87 |
| Aug 31, 2021 | 27.50 |
Factset Research Systems EV to FCF 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=ev-to-fcf&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();