Factset Research Systems (FDS) Gross Margin (2009 - 2026)
Factset Research Systems (FDS) reported Gross Margin of 48.59% for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 3.05 percentage points from 51.64% a year earlier and down 1.29 percentage points from the prior quarter.
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Analysis
Factset Research Systems (FDS) Gross Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Factset Research Systems posted Gross Margin of 50.61%, down 2.11 percentage points from FY2025.
- Gross Margin has a five-year change of +0.02 percentage points (FY2021 to FY2026).
- By fiscal year, Gross Margin came in at 52.72% in FY2025 (-1.35 pp), 54.07% in FY2024 (+0.73 pp), 53.33% in FY2023 (+0.58 pp) and 52.76% in FY2022 (+2.17 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Gross Margin since fiscal Q4 2018.
- Year over year, Gross Margin has now declined in each of the last seven quarters, with an average year-over-year change of -1.72 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 Q4 2026 came in at 49.88% (Q3 2026), 51.43% (Q2 2026) and 52.62% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 71.89% |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 74.10% |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 82.94% |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 71.05% |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 55.55% |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | - |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 48.59% |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 64.19% |
| 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 | 48.59% |
| 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% |
API Access
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();