Thermo Fisher Scientific (TMO) Land & Improvements (2009 - 2010)
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Thermo Fisher Scientific (TMO) Land & Improvements (2009 - 2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | - |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | - |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | - |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | - |
API Access
Thermo Fisher Scientific Land & Improvements 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=land-and-improvements&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();