Teleflex (TFX) Finished Goods (2013 - 2017)
Teleflex's Finished Goods was $224.08 million in Q3 2017, down 5.4% from $236.99 million a year earlier but up 5.7% from the prior quarter.
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Analysis
Teleflex (TFX) Finished Goods (2013 - 2017) Analysis & Trends
At the end of FY2016, Finished Goods at Teleflex came in at $196.3 million, down 14.9% from FY2015.
- Finished Goods shows a three-year compound annual growth rate of -6.8% (FY2013 to FY2016).
- In earlier years, Finished Goods was $230.54 million in FY2015 (-5.0%), $242.75 million in FY2014 (+0.3%) and $242.11 million in FY2013.
- Quarterly Finished Goods has moved between $196.3 million (Q4 2016) and $254.12 million (Q3 2014) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Teleflex | 5.68 Bn | 4.34 Bn | 331.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 1, 2017 | 224.08 Mn |
| Jul 2, 2017 | 212.04 Mn |
| Dec 31, 2016 | 196.30 Mn |
| Sep 25, 2016 | 236.99 Mn |
| Dec 31, 2015 | 230.54 Mn |
| Jun 28, 2015 | 249.04 Mn |
| Dec 31, 2014 | 242.75 Mn |
| Sep 28, 2014 | 254.12 Mn |
| Dec 31, 2013 | 242.11 Mn |
API Access
Teleflex Finished Goods 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=finished-goods&ticker=TFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();