Angiodynamics (ANGO) Long-Term Debt Issuances (2014 - 2022)
Angiodynamics' Long-Term Debt Issuances came in at $6.31 million for FY2025 (year ended May 31, 2025).
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Analysis
Angiodynamics (ANGO) Long-Term Debt Issuances (2014 - 2022) Analysis & Trends
Going back to FY2012, Angiodynamics' Long-Term Debt Issuances data covers 9 fiscal years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -30.9% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Long-Term Debt Issuances since FY2022.
- Per Business Quant, earlier fiscal years put Long-Term Debt Issuances at $70 million in FY2023 and $5 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.72 Bn | 236.75 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 176.22 Bn | 146.65 Bn | 7.27 Bn | -33.00 Mn |
| 3 | Danaher | 166.03 Bn | 149.84 Bn | 3.61 Bn | 6.56 Bn |
| 4 | Intuitive Surgical | 151.87 Bn | 131.29 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.55 Bn | 84.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 115.37 Bn | 101.48 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.04 Bn | 60.81 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.81 Bn | 50.96 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.03 Bn | 35.04 Bn | 1.35 Bn | - |
| 10 | Angiodynamics | 504.68 Mn | 337.40 Mn | 48.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2022 | 70.00 Mn |
| Aug 31, 2021 | 5.00 Mn |
| May 31, 2020 | 25.00 Mn |
| Feb 29, 2020 | 15.00 Mn |
| May 31, 2014 | 5.00 Mn |
API Access
Angiodynamics Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();