Factset Research Systems (FDS) Goodwill & Intangibles (2010 - 2026)
Factset Research Systems (FDS) reported Goodwill & Intangibles of $3.15 billion for fiscal Q3 2026 (quarter ended May 31, 2026), down 1.8% from $3.21 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
At the end of FY2025 (ended Aug 31, 2025), Factset Research Systems posted Goodwill & Intangibles of $3.2 billion, up 12.1% from FY2024.
- Goodwill & Intangibles has a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- By fiscal year, Goodwill & Intangibles came in at $2.86 billion in FY2024 (-0.3%), $2.86 billion in FY2023 (+0.1%), $2.86 billion in FY2022 (+221.8%) and $889.19 million in FY2021 (+7.0%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Goodwill & Intangibles since fiscal Q1 2025.
- Year over year, Goodwill & Intangibles gained in five of the last eight quarters, with growth averaging 5.5%.
- 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 Q3 2026 (a decline of 1.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.17 billion (Q2 2026), $3.18 billion (Q1 2026) and $3.2 billion (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 889.19 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();