PAVmed (PAVM) Total Non-Current Liabilities (2022 - 2026)
PAVmed (PAVM) recorded Total Non-Current Liabilities of $503,000 in Q2 2026, down 63.6% from $1.38 million a year earlier.
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Analysis
PAVmed (PAVM) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, PAVmed reported Total Non-Current Liabilities of $927,000, down 48.5% from FY2024.
- Across earlier years, Total Non-Current Liabilities came in at $1.8 million in FY2024.
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 23.92 Bn |
| 10 | PAVmed | 9.87 Mn | -5.01 Mn | -89,000.00 | 4.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.85 Mn |
| Dec 31, 2025 | 4.85 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 1.38 Mn |
| Mar 31, 2025 | 1.60 Mn |
| Dec 31, 2024 | 1.80 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Sep 30, 2023 | 57.56 Mn |
| Jun 30, 2023 | 54.25 Mn |
| Jun 30, 2022 | 2.18 Mn |
| Mar 31, 2022 | 2.11 Mn |
API Access
PAVmed Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PAVM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PAVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();