Factset Research Systems (FDS) EBIT Margin (2009 - 2026)
Factset Research Systems' EBIT Margin came in at 26.70% for fiscal Q3 2026 (quarter ended May 31, 2026), down 6.46 percentage points from 33.16% a year earlier and down 3.57 percentage points from the prior quarter.
Factset Research Systems (FDS) EBIT Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Factset Research Systems reported EBIT Margin of 29.55%, down 1.00 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 32.23%, up 0.40 percentage points from FY2024.
- EBIT Margin has increased in each of the last three fiscal years, with a five-year change of +2.80 percentage points (FY2020 to FY2025).
- Going back by fiscal year, EBIT Margin was 31.83% in FY2024 (+1.66 pp), 30.17% in FY2023 (+4.38 pp), 25.79% in FY2022 (-4.00 pp) and 29.79% in FY2021 (+0.36 pp).
- The fiscal Q3 2026 figure represents the lowest quarterly EBIT Margin since fiscal Q4 2024.
- Year-over-year, EBIT Margin has declined for three consecutive quarters, with an average year-over-year change of -1.03 percentage points over the last eight quarters.
- The fastest year-over-year change in EBIT Margin over five years came in fiscal Q3 2023 (a gain of 12.56 percentage points), and the weakest in fiscal Q3 2022 (a drop of 9.56 percentage points).
- Business Quant data shows FDS's EBIT Margin at 30.27% (Q2 2026), 31.61% (Q1 2026) and 29.71% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 43.70% |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 47.87% |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 56.23% |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 45.11% |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 18.48% |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 19.70% |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 26.70% |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 24.22% |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 60.22% |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 64.89% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 26.70% |
| Feb 28, 2026 | 30.27% |
| Nov 30, 2025 | 31.61% |
| Aug 31, 2025 | 29.71% |
| May 31, 2025 | 33.16% |
| Feb 28, 2025 | 32.50% |
| Nov 30, 2024 | 33.65% |
| Aug 31, 2024 | 22.74% |
| May 31, 2024 | 36.63% |
| Feb 29, 2024 | 33.33% |
| Nov 30, 2023 | 34.86% |
| Aug 31, 2023 | 21.67% |
| May 31, 2023 | 32.46% |
| Feb 28, 2023 | 32.86% |
| Nov 30, 2022 | 34.05% |
| Aug 31, 2022 | 26.48% |
| May 31, 2022 | 19.90% |
| Feb 28, 2022 | 28.61% |
| Nov 30, 2021 | 28.88% |
| Aug 31, 2021 | 28.93% |
Factset Research Systems EBIT 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=ebit-margin&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();