Becton Dickinson (BDX) Land & Improvements (2011 - 2014)
Becton Dickinson (BDX) posted Land & Improvements of $93 million for fiscal Q4 2014 (quarter ended Sep 30, 2014), down 4.1% from $97 million a year earlier.
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Analysis
Becton Dickinson (BDX) Land & Improvements (2011 - 2014) Analysis & Trends
Since fiscal Q4 2011, Becton Dickinson has reported Land & Improvements for 4 quarters.
- Annual Land & Improvements shows a three-year compound annual growth rate of -1.9% (FY2011 to FY2014).
- In prior fiscal years, Becton Dickinson's Land & Improvements was $97 million in FY2013 (-4.9%), $102 million in FY2012 (+3.6%) and $98.42 million in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 1.81 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 183.00 Mn |
| 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 | Agilent Technologies | 50.18 Bn | 43.07 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 93.00 Mn |
| Sep 30, 2013 | 97.00 Mn |
| Sep 30, 2012 | 102.00 Mn |
| Sep 30, 2011 | 98.42 Mn |
API Access
Becton Dickinson 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=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "BDX", "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=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();