Factset Research Systems (FDS) Long-Term Deferred Tax (2009 - 2026)
Factset Research Systems' Long-Term Deferred Tax came in at $74.55 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 21.8% from $61.23 million a year earlier and up 77.7% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Long-Term Deferred Tax (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Factset Research Systems' Long-Term Deferred Tax data covers 59 quarters.
- Long-Term Deferred Tax carries a five-year compound annual growth rate of 101.4% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Deferred Tax was $61.23 million in FY2025 (-0.2%), $61.34 million in FY2024 (+125.3%), $27.23 million in FY2023 (+763.6%) and $3.15 million in FY2022 (+40.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Long-Term Deferred Tax in data going back to fiscal Q4 2010.
- Year-over-year, Long-Term Deferred Tax increased in six of the last eight quarters, with growth averaging 39.7%.
- 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 $41.95 million (Q3 2026), $61.5 million (Q2 2026) and $59.53 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 74.55 Mn |
| 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 |
API Access
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_KEYimport 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();