Thermo Fisher Scientific (TMO) Income from Discontinued Operations (2014 - 2017)
Thermo Fisher Scientific (TMO) reported Income from Discontinued Operations of -$2 million for Q4 2017, compared with -$2.7 million a year earlier.
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Analysis
Thermo Fisher Scientific (TMO) Income from Discontinued Operations (2014 - 2017) Analysis & Trends
For FY2017, Thermo Fisher Scientific posted Income from Discontinued Operations of -$3 million.
- By year, Income from Discontinued Operations came in at -$3 million in FY2016, -$5 million in FY2015, -$1.1 million in FY2014 and -$5.8 million in FY2013.
- Five-year quarterly Income from Discontinued Operations spans a low of -$3.7 million in Q4 2015 and a high of $1.7 million in Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Discontinued) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 28.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | - |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | -74.00 Mn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -2.00 Mn |
| Jul 1, 2017 | -1.00 Mn |
| Dec 31, 2016 | -2.70 Mn |
| Jul 2, 2016 | -200,000.00 |
| Apr 2, 2016 | -100,000.00 |
| Dec 31, 2015 | -3.70 Mn |
| Sep 26, 2015 | -1.20 Mn |
| Dec 31, 2014 | -2.80 Mn |
| Sep 27, 2014 | 1.70 Mn |
API Access
Thermo Fisher Scientific Income from Discontinued Operations 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=income-from-discontinued-operations&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-discontinued-operations", "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=income-from-discontinued-operations&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();