Factset Research Systems (FDS) Current Taxes (2010 - 2026)
Factset Research Systems' Current Taxes was $5.18 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 83.0% from $30.55 million a year earlier and down 7.6% from the prior quarter.
Factset Research Systems (FDS) Current Taxes (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Current Taxes at Factset Research Systems came in at $13.04 million, down 67.7% from FY2024.
- In earlier fiscal years, Current Taxes was $40.39 million in FY2024 (+30.3%) and $31.01 million in FY2023.
- The fiscal Q3 2026 figure marks the lowest quarterly Current Taxes since fiscal Q1 2020.
- Compared with a year earlier, Current Taxes has declined for four straight quarters, with an average decline of 21.8% over the last eight quarters.
- The best year-over-year quarter for Current Taxes over five years was fiscal Q2 2025 (growth of 70.9%); the worst was fiscal Q3 2026 (a decline of 83.0%).
- Per Business Quant data, FDS's Current Taxes in the three fiscal quarters before Q3 2026 was $5.61 million (Q2 2026), $13.7 million (Q1 2026) and $13.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 238.00 Mn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | - |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 40.30 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 5.30 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | - |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | - |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 5.18 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 14.70 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | - |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.18 Mn |
| Feb 28, 2026 | 5.61 Mn |
| Nov 30, 2025 | 13.70 Mn |
| Aug 31, 2025 | 13.04 Mn |
| May 31, 2025 | 30.55 Mn |
| Feb 28, 2025 | 30.48 Mn |
| Nov 30, 2024 | 44.55 Mn |
| Aug 31, 2024 | 40.39 Mn |
| May 31, 2024 | 28.83 Mn |
| Feb 29, 2024 | 17.83 Mn |
| Nov 30, 2023 | 37.00 Mn |
| Aug 31, 2023 | 31.01 Mn |
| Nov 30, 2019 | 3.83 Mn |
| May 31, 2019 | 3.82 Mn |
| Feb 28, 2019 | 8.23 Mn |
| Nov 30, 2018 | 8.40 Mn |
| Aug 31, 2018 | 8.45 Mn |
| May 31, 2018 | 12.67 Mn |
| Feb 28, 2018 | 1.77 Mn |
| Nov 30, 2017 | 7.95 Mn |
Factset Research Systems Current Taxes 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=current-taxes&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();