Factset Research Systems (FDS) Long-Term Deferred Tax (2010 - 2026)
Factset Research Systems' Long-Term Deferred Tax came in at $41.95 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 37.3% from $66.87 million a year earlier and down 31.8% from the prior quarter.
Factset Research Systems (FDS) Long-Term Deferred Tax (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems' Long-Term Deferred Tax was $61.23 million, down 0.2% from FY2024.
- Long-Term Deferred Tax carries a four-year compound annual growth rate of 128.4% (FY2021 to FY2025).
- Going back by fiscal year, Long-Term Deferred Tax was $61.34 million in FY2024 (+125.3%), $27.23 million in FY2023 (+763.6%), $3.15 million in FY2022 (+40.1%) and $2.25 million in FY2021.
- The fiscal Q3 2026 figure represents the lowest quarterly Long-Term Deferred Tax since fiscal Q1 2025.
- Year-over-year, Long-Term Deferred Tax increased in six of the last eight quarters, with growth averaging 52.7%.
- The fastest year-over-year change in Long-Term Deferred Tax over five years came in fiscal Q4 2023 (growth of 763.6%), and the weakest in fiscal Q3 2026 (a decline of 37.3%).
- Business Quant data shows FDS's Long-Term Deferred Tax at $61.5 million (Q2 2026), $59.53 million (Q1 2026) and $61.23 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 41.95 Mn |
| Feb 28, 2026 | 61.50 Mn |
| Nov 30, 2025 | 59.53 Mn |
| Aug 31, 2025 | 61.23 Mn |
| May 31, 2025 | 66.87 Mn |
| Feb 28, 2025 | 53.55 Mn |
| Nov 30, 2024 | 40.32 Mn |
| Aug 31, 2024 | 61.34 Mn |
| May 31, 2024 | 36.74 Mn |
| Feb 29, 2024 | 24.35 Mn |
| Nov 30, 2023 | 23.84 Mn |
| Aug 31, 2023 | 27.23 Mn |
| May 31, 2023 | 12.04 Mn |
| Feb 28, 2023 | 5.66 Mn |
| Nov 30, 2022 | 3.65 Mn |
| Aug 31, 2022 | 3.15 Mn |
| May 31, 2022 | 3.26 Mn |
| Feb 28, 2022 | 2.17 Mn |
| Nov 30, 2021 | 2.13 Mn |
| Aug 31, 2021 | 2.25 Mn |
Factset Research Systems Long-Term Deferred Tax 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=long-term-deferred-tax&ticker=FDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-deferred-tax", "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=long-term-deferred-tax&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();