Factset Research Systems (FDS) Gross Margin (2009 - 2026)
Factset Research Systems (FDS) reported Gross Margin of 49.88% for fiscal Q3 2026 (quarter ended May 31, 2026), down 2.17 percentage points from 52.05% a year earlier and down 1.55 percentage points from the prior quarter.
Factset Research Systems (FDS) Gross Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Factset Research Systems' Gross Margin came in at 51.38%, down 1.95 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 52.72%, down 1.35 percentage points from FY2024.
- Gross Margin has a five-year change of -0.74 percentage points (FY2020 to FY2025).
- By fiscal year, Gross Margin came in at 54.07% in FY2024 (+0.73 pp), 53.33% in FY2023 (+0.58 pp), 52.76% in FY2022 (+2.17 pp) and 50.59% in FY2021 (-2.87 pp).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Gross Margin since fiscal Q3 2021.
- Year over year, Gross Margin has now declined in each of the last six quarters, with an average year-over-year change of -0.92 percentage points over the last eight quarters.
- The high point for year-over-year Gross Margin in five years was fiscal Q3 2022 (a gain of 5.82 percentage points); the low point was fiscal Q3 2025 (a drop of 3.26 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 51.43% (Q2 2026), 52.62% (Q1 2026) and 51.64% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 71.90% |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 76.29% |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 82.71% |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 71.05% |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 54.49% |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 49.88% |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 63.92% |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 49.88% |
| Feb 28, 2026 | 51.43% |
| Nov 30, 2025 | 52.62% |
| Aug 31, 2025 | 51.64% |
| May 31, 2025 | 52.05% |
| Feb 28, 2025 | 52.76% |
| Nov 30, 2024 | 54.49% |
| Aug 31, 2024 | 54.07% |
| May 31, 2024 | 55.31% |
| Feb 29, 2024 | 53.27% |
| Nov 30, 2023 | 53.59% |
| Aug 31, 2023 | 50.79% |
| May 31, 2023 | 54.38% |
| Feb 28, 2023 | 53.25% |
| Nov 30, 2022 | 55.02% |
| Aug 31, 2022 | 51.54% |
| May 31, 2022 | 54.45% |
| Feb 28, 2022 | 53.75% |
| Nov 30, 2021 | 51.23% |
| Aug 31, 2021 | 52.04% |
Factset Research Systems Gross 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=gross-margin&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();