Angiodynamics (ANGO) Short-term Investments (2011 - 2018)
Angiodynamics (ANGO) posted Short-term Investments of $1.35 million for fiscal Q2 2019 (quarter ended Nov 30, 2018), up 7.1% from $1.26 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Angiodynamics (ANGO) Short-term Investments (2011 - 2018) Analysis & Trends
At the end of FY2018 (ended May 31, 2018), Angiodynamics' Short-term Investments came in at $1.32 million, up 8.4% from FY2017.
- Annual Short-term Investments shows a five-year compound annual growth rate of -9.4% (FY2013 to FY2018).
- In prior fiscal years, Angiodynamics' Short-term Investments was $1.22 million in FY2017 (-26.5%), $1.65 million in FY2016 (-2.1%), $1.69 million in FY2015 (-6.6%) and $1.81 million in FY2014 (-16.0%).
- Quarterly Short-term Investments has run from a low of $1.2 million in fiscal Q2 2017 to a high of $1.81 million in fiscal Q4 2014 over five years.
- On a year-over-year basis, Short-term Investments has increased in each of the last five quarters, with an average decline of 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Short-term Investments in the past five years was fiscal Q1 2019, with growth of 11.1%; the weakest was fiscal Q3 2017, with a decline of 27.8%.
- According to Business Quant data, Short-term Investments for the three prior fiscal quarters was $1.35 million (Q1 2019), $1.32 million (Q4 2018) and $1.28 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Angiodynamics | 641.35 Mn | 469.28 Mn | 46.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2018 | 1.35 Mn |
| Aug 31, 2018 | 1.35 Mn |
| May 31, 2018 | 1.32 Mn |
| Feb 28, 2018 | 1.28 Mn |
| Nov 30, 2017 | 1.26 Mn |
| Aug 31, 2017 | 1.22 Mn |
| May 31, 2017 | 1.22 Mn |
| Feb 28, 2017 | 1.20 Mn |
| Nov 30, 2016 | 1.20 Mn |
| Aug 31, 2016 | 1.65 Mn |
| May 31, 2016 | 1.65 Mn |
| Feb 29, 2016 | 1.67 Mn |
| Nov 30, 2015 | 1.64 Mn |
| Aug 31, 2015 | 1.69 Mn |
| May 31, 2015 | 1.69 Mn |
| Feb 28, 2015 | 1.68 Mn |
| Nov 30, 2014 | 1.70 Mn |
| Aug 31, 2014 | 1.67 Mn |
| May 31, 2014 | 1.81 Mn |
| Feb 28, 2014 | 1.81 Mn |
API Access
Angiodynamics Short-term Investments 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=short-term-investments&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();