Factset Research Systems (FDS) Goodwill (2010 - 2026)
Factset Research Systems (FDS) reported Goodwill of $1.28 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.4% from $1.28 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
Factset Research Systems (FDS) Goodwill (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Factset Research Systems' Goodwill record includes 64 quarters.
- Goodwill has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- By fiscal year, Goodwill came in at $1.01 billion in FY2024 (+0.6%), $1 billion in FY2023 (+4.0%), $965.85 million in FY2022 (+28.1%) and $754.21 million in FY2021 (+6.3%).
- Five-year quarterly Goodwill spans a low of $754.21 million in fiscal Q4 2021 and a high of $1.29 billion in fiscal Q2 2026.
- Year over year, Goodwill has now increased in each of the last 24 quarters, with growth averaging 13.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Goodwill ran from 0.3% in fiscal Q3 2023 to 30.5% in fiscal Q3 2022.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.29 billion (Q2 2026), $1.28 billion (Q1 2026) and $1.28 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 | 1.28 Bn |
| Feb 28, 2026 | 1.29 Bn |
| Nov 30, 2025 | 1.28 Bn |
| Aug 31, 2025 | 1.28 Bn |
| May 31, 2025 | 1.28 Bn |
| Feb 28, 2025 | 1.25 Bn |
| Nov 30, 2024 | 1.09 Bn |
| Aug 31, 2024 | 1.01 Bn |
| May 31, 2024 | 1.00 Bn |
| Feb 29, 2024 | 1.00 Bn |
| Nov 30, 2023 | 1.01 Bn |
| Aug 31, 2023 | 1.00 Bn |
| May 31, 2023 | 982.16 Mn |
| Feb 28, 2023 | 977.36 Mn |
| Nov 30, 2022 | 974.85 Mn |
| Aug 31, 2022 | 965.85 Mn |
| May 31, 2022 | 978.86 Mn |
| Feb 28, 2022 | 786.17 Mn |
| Nov 30, 2021 | 783.03 Mn |
| Aug 31, 2021 | 754.21 Mn |
API Access
Factset Research Systems Goodwill 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&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();