Factset Research Systems (FDS) Goodwill (2009 - 2026)
Factset Research Systems (FDS) reported Goodwill of $1.28 billion for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 0.1% from $1.28 billion a year earlier and unchanged from the prior quarter.
Factset Research Systems (FDS) Goodwill (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Factset Research Systems' Goodwill record includes 65 quarters.
- Goodwill has a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- By fiscal year, Goodwill came in at $1.28 billion in FY2025 (+27.1%), $1.01 billion in FY2024 (+0.6%), $1 billion in FY2023 (+4.0%) and $965.85 million in FY2022 (+28.1%).
- Five-year quarterly Goodwill spans a low of $783.03 million in fiscal Q1 2022 and a high of $1.29 billion in fiscal Q2 2026.
- Year over year, Goodwill gained in seven of the last eight quarters, with growth averaging 13.5%.
- The high point for year-over-year Goodwill in five years was fiscal Q3 2022 (growth of 30.5%); the low point was fiscal Q4 2026 (a decline of 0.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.28 billion (Q3 2026), $1.29 billion (Q2 2026) and $1.28 billion (Q1 2026).
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
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.28 Bn |
| 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 |
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_KEY
import 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();