Angiodynamics (ANGO) Work In Process (2009 - 2014)
Angiodynamics' Work In Process came in at $13.35 million for fiscal Q3 2014 (quarter ended Feb 28, 2014), up 15.5% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Work In Process (2009 - 2014) Analysis & Trends
At the end of FY2013 (ended May 31, 2013), Angiodynamics' Work In Process was $11.01 million, up 15.8% from FY2012.
- Going back by fiscal year, Work In Process was $9.5 million in FY2012.
- Business Quant data shows ANGO's Work In Process at $11.56 million (Q2 2014), $11.87 million (Q1 2014) and $11.01 million (Q4 2013) in the three fiscal quarters before Q3 2014.
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 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2014 | 13.35 Mn |
| Nov 30, 2013 | 11.56 Mn |
| Aug 31, 2013 | 11.87 Mn |
| May 31, 2013 | 11.01 Mn |
| Aug 31, 2012 | 10.65 Mn |
| May 31, 2012 | 9.50 Mn |
| Feb 28, 2011 | 3.66 Mn |
| Nov 30, 2010 | 3.51 Mn |
| Aug 31, 2010 | 4.17 Mn |
| May 31, 2010 | 3.66 Mn |
| Feb 28, 2010 | 4.16 Mn |
| May 31, 2009 | 4.19 Mn |
| Feb 28, 2009 | 3.33 Mn |
API Access
Angiodynamics Work In Process 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=work-in-process&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "ticker": "ANGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=work-in-process&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();