Angiodynamics (ANGO) Cash from Discontinued Operations (2017 - 2019)
Angiodynamics (ANGO) recorded Cash from Discontinued Operations of -$5.41 million in fiscal Q3 2019 (quarter ended Feb 28, 2019), compared with -$4.12 million a year earlier.
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Analysis
Angiodynamics (ANGO) Cash from Discontinued Operations (2017 - 2019) Analysis & Trends
On a TTM basis, Angiodynamics' Cash from Discontinued Operations came in at -$20.48 million as of Feb 28, 2019.
- Quarterly Cash from Discontinued Operations has ranged from -$5.73 million in fiscal Q2 2019 to -$4.12 million in fiscal Q3 2018 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Discont. Ops (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 74.00 Mn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | Angiodynamics | 509.94 Mn | 342.66 Mn | 48.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2019 | -5.41 Mn |
| Nov 30, 2018 | -5.73 Mn |
| Aug 31, 2018 | -5.24 Mn |
| Feb 28, 2018 | -4.12 Mn |
| Nov 30, 2017 | -4.66 Mn |
| Aug 31, 2017 | -4.97 Mn |
API Access
Angiodynamics Cash from Discontinued Operations 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=cash-from-discontinued-operations&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-discontinued-operations", "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=cash-from-discontinued-operations&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();