Factset Research Systems (FDS) Income Taxes Paid (2013 - 2014)
Factset Research Systems' Income Taxes Paid was $122.73 million in FY2026 (year ended Aug 31, 2026), up 18.9% from $103.2 million in FY2025.
Analysis
Factset Research Systems (FDS) Income Taxes Paid (2013 - 2014) Analysis & Trends
From FY2011 onward, Factset Research Systems has reported Income Taxes Paid for 16 fiscal years.
- Income Taxes Paid shows a five-year compound annual growth rate of 21.4% (FY2021 to FY2026).
- Annual Income Taxes Paid has moved between $76.25 million (FY2022) and $157.02 million (FY2024) over five years.
- Per Business Quant data, Income Taxes Paid in earlier fiscal years was $103.2 million in FY2025 (-34.3%), $157.02 million in FY2024 (+72.2%), $91.17 million in FY2023 (+19.6%) and $76.25 million in FY2022 (+63.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 132.72 Bn | 128.33 Bn | 2.98 Bn | - |
| 2 | Moodys | 83.35 Bn | 76.42 Bn | 1.50 Bn | - |
| 3 | Msci | 44.14 Bn | 42.62 Bn | 739.80 Mn | 39.20 Mn |
| 4 | Verisk Analytics | 25.49 Bn | 20.13 Bn | 572.90 Mn | 137.50 Mn |
| 5 | Equifax | 21.35 Bn | 20.74 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.61 Bn | 12.59 Bn | - | - |
| 7 | Factset Research Systems | 11.68 Bn | 10.53 Bn | 308.40 Mn | - |
| 8 | Morningstar | 8.44 Bn | 6.34 Bn | 423.90 Mn | 67.30 Mn |
| 9 | Mastercard | 542.86 Bn | 502.77 Bn | - | - |
| 10 | Cme | 109.27 Bn | 97.61 Bn | - | 332.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2014 | -51.71 Mn |
| May 31, 2014 | 30.07 Mn |
| Aug 31, 2013 | -189.69 Mn |
| May 31, 2013 | 91.53 Mn |
API Access
Factset Research Systems Income Taxes Paid 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=income-taxes-paid&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();