Factset Research Systems (FDS) EV to CFO (2010 - 2026)
Factset Research Systems' (FDS) EV to CFO came in at 10.22 for fiscal Q3 2026 (quarter ended May 31, 2026), down 59.2% from 25.08 a year earlier but up 6.6% from the prior quarter.
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Analysis
Factset Research Systems (FDS) EV to CFO (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EV to CFO at Factset Research Systems was 9.09, down 61.1% year-over-year; for FY2025 (ended Aug 31, 2025), it was 18.86, down 15.1% from FY2024.
- Annual EV to CFO has declined for three consecutive fiscal years.
- In prior fiscal years, Factset Research Systems' EV to CFO was 22.21 in FY2024 (-11.1%), 25.00 in FY2023 (-15.6%), 29.63 in FY2022 (+21.1%) and 24.47 in FY2021 (-2.7%).
- Quarterly EV to CFO has run from a low of 9.59 in fiscal Q2 2026 to a high of 31.53 in fiscal Q1 2022 over five years.
- On a year-over-year basis, EV to CFO has declined in each of the last four quarters, with an average decline of 20.6% over the last eight quarters.
- The strongest year-over-year quarter for EV to CFO in the past five years was fiscal Q2 2022, with growth of 39.1%; the weakest was fiscal Q2 2026, with a decline of 63.2%.
- According to Business Quant data, EV to CFO for the three prior fiscal quarters was 9.59 (Q2 2026), 13.18 (Q1 2026) and 18.86 (Q4 2025).
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 | 10.22 |
| Feb 28, 2026 | 9.59 |
| Nov 30, 2025 | 13.18 |
| Aug 31, 2025 | 18.86 |
| May 31, 2025 | 25.08 |
| Feb 28, 2025 | 26.08 |
| Nov 30, 2024 | 28.99 |
| Aug 31, 2024 | 22.21 |
| May 31, 2024 | 21.46 |
| Feb 29, 2024 | 25.53 |
| Nov 30, 2023 | 24.23 |
| Aug 31, 2023 | 25.00 |
| May 31, 2023 | 22.12 |
| Feb 28, 2023 | 25.06 |
| Nov 30, 2022 | 30.00 |
| Aug 31, 2022 | 29.63 |
| May 31, 2022 | 24.37 |
| Feb 28, 2022 | 28.02 |
| Nov 30, 2021 | 31.53 |
| Aug 31, 2021 | 24.47 |
API Access
Factset Research Systems EV to CFO 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-cfo&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();