Factset Research Systems (FDS) Intangibles (2009 - 2026)
Factset Research Systems (FDS) posted Intangibles of $1.85 billion for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 3.5% from $1.92 billion a year earlier and down 1.0% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Intangibles (2009 - 2026) Analysis & Trends
Since fiscal Q4 2010, Factset Research Systems has reported Intangibles for 65 quarters.
- Annual Intangibles shows a five-year compound annual growth rate of 68.8% (FY2021 to FY2026).
- In prior fiscal years, Factset Research Systems' Intangibles was $1.92 billion in FY2025 (+3.9%), $1.84 billion in FY2024 (-0.8%), $1.86 billion in FY2023 (-1.9%) and $1.9 billion in FY2022.
- The fiscal Q4 2026 figure stands as the lowest quarterly Intangibles since fiscal Q4 2024.
- On a year-over-year basis, Intangibles has declined in each of the last three quarters, with growth averaging 0.7% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q3 2025, with growth of 4.3%; the weakest was fiscal Q4 2026, with a decline of 3.5%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $1.87 billion (Q3 2026), $1.88 billion (Q2 2026) and $1.9 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 899.10 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 11.94 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 1.69 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 308.30 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 1.17 Bn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 3.43 Bn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 1.85 Bn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 550.00 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 5.70 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 2.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.85 Bn |
| May 31, 2026 | 1.87 Bn |
| Feb 28, 2026 | 1.88 Bn |
| Nov 30, 2025 | 1.90 Bn |
| Aug 31, 2025 | 1.92 Bn |
| May 31, 2025 | 1.93 Bn |
| Feb 28, 2025 | 1.94 Bn |
| Nov 30, 2024 | 1.87 Bn |
| Aug 31, 2024 | 1.84 Bn |
| May 31, 2024 | 1.85 Bn |
| Feb 29, 2024 | 1.86 Bn |
| Nov 30, 2023 | 1.85 Bn |
| Aug 31, 2023 | 1.86 Bn |
| May 31, 2023 | 1.86 Bn |
| Feb 28, 2023 | 1.87 Bn |
| Nov 30, 2022 | 1.88 Bn |
| Aug 31, 2022 | 1.90 Bn |
| May 31, 2022 | 1.91 Bn |
| Feb 28, 2022 | 135.04 Mn |
| Nov 30, 2021 | 139.31 Mn |
API Access
Factset Research Systems Intangibles 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=intangibles&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();