PAVmed (PAVM) Long-Term Debt Repayments (2019 - 2024)
PAVmed's Long-Term Debt Repayments came in at $531,000 for FY2024, up 572.2% from $79,000 in FY2023.
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Analysis
PAVmed (PAVM) Long-Term Debt Repayments (2019 - 2024) Analysis & Trends
Going back to FY2018, PAVmed's Long-Term Debt Repayments data covers 7 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 43.9% (FY2019 to FY2024).
- The five-year range for annual Long-Term Debt Repayments is $79,000 (FY2023) to $14.82 million (FY2021).
- Per Business Quant, earlier years put Long-Term Debt Repayments at $79,000 in FY2023 (-98.7%), $6 million in FY2022 (-59.5%), $14.82 million in FY2021 (+13.6%) and $13.04 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | - |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | - |
| 10 | PAVmed | 14.11 Mn | 1.68 Mn | -89,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 209,000.00 |
| Mar 31, 2024 | 322,000.00 |
| Mar 31, 2021 | 14.82 Mn |
| Dec 31, 2019 | -193,002.00 |
| Jun 30, 2019 | 119,811.00 |
| Mar 31, 2019 | 159,191.00 |
API Access
PAVmed Long-Term Debt Repayments 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-repayments&ticker=PAVM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PAVM", "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-repayments&ticker=PAVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();