Factset Research Systems (FDS) Goodwill & Intangibles (2010 - 2026)
Factset Research Systems (FDS) reported Goodwill & Intangibles of $3.13 billion for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 2.1% from $3.2 billion a year earlier and down 0.6% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Factset Research Systems' Goodwill & Intangibles record includes 65 quarters.
- Goodwill & Intangibles has a five-year compound annual growth rate of 28.6% (FY2021 to FY2026).
- By fiscal year, Goodwill & Intangibles came in at $3.2 billion in FY2025 (+12.1%), $2.86 billion in FY2024 (-0.3%), $2.86 billion in FY2023 (+0.1%) and $2.86 billion in FY2022 (+221.8%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Goodwill & Intangibles since fiscal Q1 2025.
- Year over year, Goodwill & Intangibles has now declined in each of the last three quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was fiscal Q3 2022 (growth of 228.4%); the low point was fiscal Q4 2026 (a decline of 2.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $3.15 billion (Q3 2026), $3.17 billion (Q2 2026) and $3.18 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.13 Bn |
| May 31, 2026 | 3.15 Bn |
| Feb 28, 2026 | 3.17 Bn |
| Nov 30, 2025 | 3.18 Bn |
| Aug 31, 2025 | 3.20 Bn |
| May 31, 2025 | 3.21 Bn |
| Feb 28, 2025 | 3.18 Bn |
| Nov 30, 2024 | 2.96 Bn |
| Aug 31, 2024 | 2.86 Bn |
| May 31, 2024 | 2.86 Bn |
| Feb 29, 2024 | 2.86 Bn |
| Nov 30, 2023 | 2.85 Bn |
| Aug 31, 2023 | 2.86 Bn |
| May 31, 2023 | 2.84 Bn |
| Feb 28, 2023 | 2.85 Bn |
| Nov 30, 2022 | 2.86 Bn |
| Aug 31, 2022 | 2.86 Bn |
| May 31, 2022 | 2.89 Bn |
| Feb 28, 2022 | 921.21 Mn |
| Nov 30, 2021 | 922.34 Mn |
API Access
Factset Research Systems Goodwill & 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=goodwill-and-intangibles&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();