Angiodynamics (ANGO) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
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.
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Analysis
Angiodynamics (ANGO) Net Long-Term Debt Issued (Repaid) (2009 - 2026) 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) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 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 | -7.00 Mn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn | -99,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -99,000.00 |
| May 31, 2026 | -97,000.00 |
| Feb 28, 2026 | -95,000.00 |
| Nov 30, 2025 | -92,000.00 |
| Aug 31, 2025 | -91,000.00 |
| May 31, 2025 | -90,000.00 |
| Feb 28, 2025 | -58,000.00 |
| Aug 31, 2023 | -50.00 Mn |
| Aug 31, 2022 | 25.00 Mn |
| Aug 31, 2021 | 5.00 Mn |
| May 31, 2021 | -10.00 Mn |
| Feb 28, 2021 | -10.00 Mn |
| May 31, 2020 | 25.00 Mn |
| Feb 29, 2020 | 15.00 Mn |
| Aug 31, 2019 | -132.50 Mn |
| May 31, 2019 | -1.25 Mn |
| Feb 28, 2019 | -11.25 Mn |
| Nov 30, 2018 | -1.25 Mn |
| Aug 31, 2018 | -1.25 Mn |
| May 31, 2018 | -1.25 Mn |
API Access
Angiodynamics Net Long-Term Debt Issued (Repaid) 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();