Angiodynamics (ANGO) Non-Current Debt (2011 - 2023)
Angiodynamics' Non-Current Debt was $49.82 million in fiscal Q4 2023 (quarter ended May 31, 2023), up 99.3% from $25 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Angiodynamics (ANGO) Non-Current Debt (2011 - 2023) Analysis & Trends
From fiscal Q4 2011 onward, Angiodynamics has reported Non-Current Debt for 45 quarters.
- Non-Current Debt shows a five-year compound annual growth rate of -10.5% (FY2018 to FY2023).
- In earlier fiscal years, Non-Current Debt was $25 million in FY2022 (+25.0%), $20 million in FY2021 (-50.0%), $40 million in FY2020 (-67.8%) and $124.41 million in FY2019 (+43.6%).
- The fiscal Q4 2023 figure marks the highest quarterly Non-Current Debt since fiscal Q4 2019.
- Compared with a year earlier, Non-Current Debt has increased for five straight quarters, with growth averaging 41.3% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q3 2021 (growth of 109.2%); the worst was fiscal Q3 2020 (a decline of 88.7%).
- Per Business Quant data, ANGO's Non-Current Debt in the three fiscal quarters before Q4 2023 was $49.81 million (Q3 2023), $49.8 million (Q2 2023) and $49.8 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2023 | 49.82 Mn |
| Feb 28, 2023 | 49.81 Mn |
| Nov 30, 2022 | 49.80 Mn |
| Aug 31, 2022 | 49.80 Mn |
| May 31, 2022 | 25.00 Mn |
| Feb 28, 2022 | 25.00 Mn |
| Nov 30, 2021 | 25.00 Mn |
| Aug 31, 2021 | 25.00 Mn |
| May 31, 2021 | 20.00 Mn |
| Feb 28, 2021 | 30.00 Mn |
| Nov 30, 2020 | 40.00 Mn |
| Aug 31, 2020 | 40.00 Mn |
| May 31, 2020 | 40.00 Mn |
| Feb 29, 2020 | 14.34 Mn |
| May 31, 2019 | 124.41 Mn |
| Feb 28, 2019 | 126.84 Mn |
| Nov 30, 2018 | 139.27 Mn |
| Aug 31, 2018 | 85.44 Mn |
| May 31, 2018 | 86.62 Mn |
| Feb 28, 2018 | 87.80 Mn |
API Access
Angiodynamics Non-Current Debt 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=non-current-debt&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();