Factset Research Systems (FDS) Change in Acquisitions & Divestments (2016 - 2020)
Factset Research Systems' Change in Acquisitions & Divestments came in at -$2.55 million for fiscal Q4 2020 (quarter ended Aug 31, 2020), compared with -$2.86 million a year earlier.
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Analysis
Factset Research Systems (FDS) Change in Acquisitions & Divestments (2016 - 2020) Analysis & Trends
For FY2020 (ended Aug 31, 2020), Factset Research Systems' Change in Acquisitions & Divestments was -$6.75 million.
- Going back by fiscal year, Change in Acquisitions & Divestments was -$14.41 million in FY2019, -$12.46 million in FY2018, -$23.4 million in FY2017 and -$17.24 million in FY2016.
- The five-year range for quarterly Change in Acquisitions & Divestments is -$19.5 million (fiscal Q1 2017) to -$1.5 million (fiscal Q3 2019).
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 | -2.55 Mn |
| Feb 29, 2020 | -1.94 Mn |
| Nov 30, 2019 | -2.26 Mn |
| Aug 31, 2019 | -2.86 Mn |
| May 31, 2019 | -1.50 Mn |
| Feb 28, 2019 | -3.47 Mn |
| Nov 30, 2018 | -6.57 Mn |
| Aug 31, 2018 | -2.59 Mn |
| Feb 28, 2018 | -2.46 Mn |
| Nov 30, 2017 | -7.41 Mn |
| May 31, 2017 | -3.90 Mn |
| Nov 30, 2016 | -19.50 Mn |
API Access
Factset Research Systems Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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=change-in-acquisitions-and-divestments&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();