Thermo Fisher Scientific (TMO) Amortization - Intangibles (2009 - 2011)
Thermo Fisher Scientific (TMO) posted Amortization - Intangibles of $151.2 million for Q2 2011, up 9.7% from $137.8 million a year earlier and up 11.7% from the prior quarter.
Thermo Fisher Scientific (TMO) Amortization - Intangibles (2009 - 2011) Analysis & Trends
For the trailing twelve months through Jul 2, 2011, Amortization - Intangibles at Thermo Fisher Scientific was $565.2 million, down 4.1% year-over-year; for FY2010, it came in at $571.7 million, down 4.2% from FY2009.
- In prior years, Thermo Fisher Scientific's Amortization - Intangibles was $597 million in FY2009.
- The Q2 2011 figure stands as the highest quarterly Amortization - Intangibles since Q4 2009.
- On a year-over-year basis, Amortization - Intangibles increased in 1 of the last four quarters, with an average decline of 3.7%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $135.4 million (Q1 2011), $139.2 million (Q4 2010) and $139.4 million (Q3 2010).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
| Date | Value |
|---|---|
| Jul 2, 2011 | 151.20 Mn |
| Apr 2, 2011 | 135.40 Mn |
| Dec 31, 2010 | 139.20 Mn |
| Oct 2, 2010 | 139.40 Mn |
| Jul 3, 2010 | 137.80 Mn |
| Apr 3, 2010 | 146.70 Mn |
| Dec 31, 2009 | 156.40 Mn |
| Sep 26, 2009 | 148.20 Mn |
Thermo Fisher Scientific Amortization - Intangibles 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=amortization-intangibles&ticker=TMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();