Factset Research Systems (FDS) EV to EBITDA (2010 - 2026)
Factset Research Systems' EV to EBITDA came in at 12.25 for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 19.0% from 15.12 a year earlier but up 29.6% from the prior quarter.
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Factset Research Systems (FDS) EV to EBITDA (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Factset Research Systems' EV to EBITDA data covers 65 quarters.
- EV to EBITDA has declined in each of the last four fiscal years.
- Going back by fiscal year, EV to EBITDA was 15.12 in FY2025 (-19.7%), 18.82 in FY2024 (-14.3%), 21.97 in FY2023 (-22.6%) and 28.37 in FY2022 (+12.5%).
- The five-year range for quarterly EV to EBITDA is 8.33 (fiscal Q2 2026) to 31.34 (fiscal Q1 2022).
- Year-over-year, EV to EBITDA has declined for five consecutive quarters, with an average decline of 25.3% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in fiscal Q1 2022 (growth of 31.0%), and the weakest in fiscal Q2 2026 (a decline of 59.1%).
- Business Quant data shows FDS's EV to EBITDA at 9.45 (Q3 2026), 8.33 (Q2 2026) and 10.96 (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 | 12.25 |
| May 31, 2026 | 9.45 |
| Feb 28, 2026 | 8.33 |
| Nov 30, 2025 | 10.96 |
| Aug 31, 2025 | 15.12 |
| May 31, 2025 | 20.03 |
| Feb 28, 2025 | 20.35 |
| Nov 30, 2024 | 21.87 |
| Aug 31, 2024 | 18.82 |
| May 31, 2024 | 18.41 |
| Feb 29, 2024 | 22.29 |
| Nov 30, 2023 | 22.34 |
| Aug 31, 2023 | 21.97 |
| May 31, 2023 | 18.90 |
| Feb 28, 2023 | 22.77 |
| Nov 30, 2022 | 27.67 |
| Aug 31, 2022 | 28.37 |
| May 31, 2022 | 25.86 |
| Feb 28, 2022 | 26.54 |
| Nov 30, 2021 | 31.34 |
API Access
Factset Research Systems EV to EBITDA 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-ebitda&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();