Factset Research Systems (FDS) Tax Rate (2009 - 2026)
Factset Research Systems (FDS) posted Tax Rate of 17.78% for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.33 percentage points from 17.45% a year earlier and up 0.37 percentage points from the prior quarter.
Factset Research Systems (FDS) Tax Rate (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Tax Rate at Factset Research Systems was 18.48%, up 0.58 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 17.19%, down 0.37 percentage points from FY2024.
- Annual Tax Rate shows a five-year change of +4.50 percentage points (FY2020 to FY2025).
- In prior fiscal years, Factset Research Systems' Tax Rate was 17.56% in FY2024 (-2.27 pp), 19.83% in FY2023 (+9.30 pp), 10.52% in FY2022 (-4.03 pp) and 14.55% in FY2021 (+1.86 pp).
- Quarterly Tax Rate has run from a low of 9.85% in fiscal Q2 2022 to a high of 39.32% in fiscal Q4 2023 over five years.
- On a year-over-year basis, Tax Rate has increased in each of the last three quarters, with an average year-over-year change of -1.79 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Tax Rate in the past five years was fiscal Q4 2023, with a gain of 29.00 percentage points; the weakest was fiscal Q4 2024, with a drop of 15.72 percentage points.
- According to Business Quant data, Tax Rate for the three prior fiscal quarters was 17.41% (Q2 2026), 19.74% (Q1 2026) and 18.70% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Tax Rate (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 23.48% |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 24.94% |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 18.04% |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 24.65% |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 27.95% |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 27.20% |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 17.78% |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 26.05% |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 20.01% |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 21.53% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 17.78% |
| Feb 28, 2026 | 17.41% |
| Nov 30, 2025 | 19.74% |
| Aug 31, 2025 | 18.70% |
| May 31, 2025 | 17.45% |
| Feb 28, 2025 | 15.94% |
| Nov 30, 2024 | 16.53% |
| Aug 31, 2024 | 23.59% |
| May 31, 2024 | 17.00% |
| Feb 29, 2024 | 16.43% |
| Nov 30, 2023 | 15.21% |
| Aug 31, 2023 | 39.32% |
| May 31, 2023 | 16.87% |
| Feb 28, 2023 | 16.06% |
| Nov 30, 2022 | 13.36% |
| Aug 31, 2022 | 10.31% |
| May 31, 2022 | 12.16% |
| Feb 28, 2022 | 9.85% |
| Nov 30, 2021 | 10.26% |
| Aug 31, 2021 | 14.67% |
Factset Research Systems Tax Rate 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=tax-rate&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-rate", "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=tax-rate&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();