Factset Research Systems (FDS) Times Interest Earned (2022 - 2026)
Factset Research Systems' Times Interest Earned came in at 12.02 for fiscal Q3 2026 (quarter ended May 31, 2026), down 6.4% from 12.84 a year earlier and down 15.1% from the prior quarter.
Factset Research Systems (FDS) Times Interest Earned (2022 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Factset Research Systems reported Times Interest Earned of 13.55, up 14.4% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 13.29, up 24.6% from FY2024.
- Going back by fiscal year, Times Interest Earned was 10.66 in FY2024 (+12.4%), 9.49 in FY2023 (-28.8%) and 13.32 in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Times Interest Earned since fiscal Q4 2024.
- Year-over-year, Times Interest Earned increased in seven of the last eight quarters, with growth averaging 17.5%.
- The fastest year-over-year change in Times Interest Earned over five years came in fiscal Q3 2023 (growth of 75.0%), and the weakest in fiscal Q4 2023 (a decline of 18.0%).
- Business Quant data shows FDS's Times Interest Earned at 14.16 (Q2 2026), 14.35 (Q1 2026) and 13.76 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 20.83 |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 6.87 |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 6.89 |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 5.25 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.92 |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 12.02 |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 25.63 |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 25.39 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 12.02 |
| Feb 28, 2026 | 14.16 |
| Nov 30, 2025 | 14.35 |
| Aug 31, 2025 | 13.76 |
| May 31, 2025 | 12.84 |
| Feb 28, 2025 | 13.33 |
| Nov 30, 2024 | 13.29 |
| Aug 31, 2024 | 8.22 |
| May 31, 2024 | 11.98 |
| Feb 29, 2024 | 10.96 |
| Nov 30, 2023 | 11.29 |
| Aug 31, 2023 | 6.96 |
| May 31, 2023 | 10.51 |
| Feb 28, 2023 | 10.11 |
| Nov 30, 2022 | 10.39 |
| Aug 31, 2022 | 8.49 |
| May 31, 2022 | 6.01 |
Factset Research Systems Times Interest Earned 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=times-interest-earned&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();