Angiodynamics (ANGO) Short-term Investments (2009 - 2023)
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.
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Analysis
Angiodynamics (ANGO) Short-term Investments (2009 - 2023) 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 | 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 |
|---|---|
| May 31, 2023 | 6.15 Mn |
| 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 |
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();