Angiodynamics (ANGO) EV to EBIT (2009 - 2017)
Angiodynamics' (ANGO) EV to EBIT stood at 25.01 in fiscal Q3 2017 (quarter ended Feb 28, 2017), down 73.8% from 95.61 a year earlier and down 13.1% from the prior quarter.
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Analysis
Angiodynamics (ANGO) EV to EBIT (2009 - 2017) Analysis & Trends
On a TTM basis, Angiodynamics' EV to EBIT came in at 20.22 as of Feb 28, 2017, down 74.5% year-over-year; for FY2016 (ended May 31, 2016), it was 394.61.
- Across earlier fiscal years, EV to EBIT came in at 45.98 in FY2014 (-32.6%) and 68.20 in FY2013.
- The fiscal Q3 2017 figure is the lowest quarterly EV to EBIT since fiscal Q1 2012.
- Per Business Quant, the preceding three fiscal quarters came in at 28.77 (Q2 2017), 130.27 (Q1 2017) and 394.22 (Q4 2016).
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, 2017 | -0.56 |
| Nov 30, 2016 | -0.67 |
| Aug 31, 2016 | -2.95 |
| May 31, 2016 | -16.25 |
| Feb 29, 2016 | -2.02 |
| Nov 30, 2014 | 0.53 |
| Aug 31, 2014 | 0.34 |
| May 31, 2014 | -0.01 |
| Feb 28, 2014 | 0.71 |
| Nov 30, 2013 | 2.10 |
| Aug 31, 2013 | -1.44 |
| May 31, 2013 | -1.46 |
| Feb 29, 2012 | -78.21 |
| Nov 30, 2011 | -12.53 |
| Aug 31, 2011 | -10.97 |
| May 31, 2011 | -9.73 |
| Feb 28, 2011 | -5.05 |
| Nov 30, 2010 | -4.64 |
| Aug 31, 2010 | -4.18 |
| May 31, 2010 | -4.10 |
API Access
Angiodynamics EV to EBIT 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=ev-to-ebit&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();