Teleflex (TFX) Raw Materials (2009 - 2017)
Teleflex (TFX) posted Raw Materials of $98.32 million for Q3 2017, up 22.4% from $80.35 million a year earlier and up 3.6% from the prior quarter.
Analysis
Teleflex (TFX) Raw Materials (2009 - 2017) Analysis & Trends
At the end of FY2016, Teleflex's Raw Materials came in at $65.32 million, down 14.1% from FY2015.
- Annual Raw Materials shows a three-year compound annual growth rate of -2.4% (FY2013 to FY2016).
- In prior years, Teleflex's Raw Materials was $76.04 million in FY2015 (+11.5%), $68.19 million in FY2014 (-2.9%) and $70.21 million in FY2013.
- The Q3 2017 figure stands as the highest quarterly Raw Materials in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Teleflex | 6.16 Bn | 4.74 Bn | 368.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 1, 2017 | 98.32 Mn |
| Jul 2, 2017 | 94.92 Mn |
| Dec 31, 2016 | 65.32 Mn |
| Sep 25, 2016 | 80.35 Mn |
| Dec 31, 2015 | 76.04 Mn |
| Jun 28, 2015 | 74.39 Mn |
| Dec 31, 2014 | 68.19 Mn |
| Sep 28, 2014 | 73.17 Mn |
| Dec 31, 2013 | 70.21 Mn |
| Sep 26, 2010 | 139.73 Mn |
| Jun 27, 2010 | 136.63 Mn |
| Mar 28, 2010 | 145.74 Mn |
| Dec 31, 2009 | 150.51 Mn |
| Sep 27, 2009 | 164.98 Mn |
| Jun 28, 2009 | 185.15 Mn |
| Mar 29, 2009 | 180.50 Mn |
API Access
Teleflex Raw Materials 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=raw-materials&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "ticker": "TFX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=raw-materials&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();