Thermo Fisher Scientific (TMO) Gains from Sales and Divestitures (2014 - 2019)
Thermo Fisher Scientific (TMO) posted Gains from Sales and Divestitures of -$4 million for Q4 2019.
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Analysis
Thermo Fisher Scientific (TMO) Gains from Sales and Divestitures (2014 - 2019) Analysis & Trends
For FY2019, Thermo Fisher Scientific's Gains from Sales and Divestitures came in at $482 million.
- Annual Gains from Sales and Divestitures shows a five-year compound annual growth rate of -11.7% (FY2014 to FY2019).
- In prior years, Thermo Fisher Scientific's Gains from Sales and Divestitures was $7.6 million in FY2015 (-99.2%).
- The Q4 2019 figure stands as the highest quarterly Gains from Sales and Divestitures since Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -4.00 Mn |
| Sep 28, 2019 | -19.00 Mn |
| Jun 27, 2015 | 7.60 Mn |
| Dec 31, 2014 | 1.00 Mn |
| Sep 27, 2014 | 132.60 Mn |
| Jun 28, 2014 | 3.30 Mn |
| Mar 29, 2014 | 758.50 Mn |
API Access
Thermo Fisher Scientific 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=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "TMO", "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=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();