Factset Research Systems (FDS) Current Taxes (2010 - 2026)
Factset Research Systems' Current Taxes was $5.01 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 61.6% from $13.04 million a year earlier and down 3.3% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Current Taxes (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Factset Research Systems has reported Current Taxes for 43 quarters.
- Current Taxes shows a three-year compound annual growth rate of -45.5% (FY2023 to FY2026).
- In earlier fiscal years, Current Taxes was $13.04 million in FY2025 (-67.7%), $40.39 million in FY2024 (+30.3%) and $31.01 million in FY2023.
- The fiscal Q4 2026 figure marks the lowest quarterly Current Taxes since fiscal Q1 2020.
- Compared with a year earlier, Current Taxes has declined for five straight quarters, with an average decline of 33.2% 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 Q4 2026 was $5.18 million (Q3 2026), $5.61 million (Q2 2026) and $13.7 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 247.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | - |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 57.90 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 5.30 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | - |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 5.01 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 19.60 Mn |
| 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 | 5.01 Mn |
| 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 |
API Access
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_KEYimport 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();