Factset Research Systems (FDS) Gains from Sales and Divestitures (2009 - 2020)
Factset Research Systems (FDS) posted Gains from Sales and Divestitures of $23.24 million for FY2025 (year ended Aug 31, 2025).
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Analysis
Factset Research Systems (FDS) Gains from Sales and Divestitures (2009 - 2020) Analysis & Trends
Since FY2009, Factset Research Systems has reported Gains from Sales and Divestitures for 12 fiscal years.
- The FY2025 figure stands as the highest annual Gains from Sales and Divestitures since FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2020 | -6,000.00 |
| May 31, 2020 | -21,000.00 |
| Feb 29, 2020 | -145,000.00 |
| Aug 31, 2019 | -1,000.00 |
| May 31, 2019 | 1,000.00 |
| Feb 28, 2019 | -15,000.00 |
| Nov 30, 2018 | -181,000.00 |
| Aug 31, 2018 | -122,000.00 |
| Feb 28, 2018 | -8,000.00 |
| Nov 30, 2017 | -17,000.00 |
| Aug 31, 2017 | -59,000.00 |
| Feb 28, 2017 | -1.21 Mn |
| Aug 31, 2016 | 112.46 Mn |
| Aug 31, 2015 | 17,000.00 |
| May 31, 2015 | 13,000.00 |
| Feb 28, 2015 | 28,000.00 |
| Nov 30, 2014 | -24,000.00 |
| May 31, 2014 | -2,000.00 |
| Feb 28, 2014 | 41,000.00 |
| Nov 30, 2013 | 23,000.00 |
API Access
Factset Research Systems Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();