Catheter Precision (VTAK) Total Non-Current Liabilities (2017 - 2026)
Catheter Precision's Total Non-Current Liabilities came in at $18.52 million for Q2 2026, up 148.0% from $7.47 million a year earlier but down 26.3% from the prior quarter.
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Analysis
Catheter Precision (VTAK) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Catheter Precision's Total Non-Current Liabilities was $8.01 million, up 15.4% from FY2024.
- Going back by year, Total Non-Current Liabilities was $6.95 million in FY2024 (+170.3%) and $2.57 million in FY2023.
- The five-year range for quarterly Total Non-Current Liabilities is $2.44 million (Q1 2024) to $25.14 million (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for seven consecutive quarters, with growth averaging 117.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 286.2%), and the weakest in Q2 2024 (a decline of 71.3%).
- Business Quant data shows VTAK's Total Non-Current Liabilities at $25.14 million (Q1 2026), $8.01 million (Q4 2025) and $7.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Catheter Precision | 387,441.60 | -4.48 Mn | 98,000.00 | 18.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.52 Mn |
| Mar 31, 2026 | 25.14 Mn |
| Dec 31, 2025 | 8.01 Mn |
| Sep 30, 2025 | 7.95 Mn |
| Jun 30, 2025 | 7.47 Mn |
| Mar 31, 2025 | 6.51 Mn |
| Dec 31, 2024 | 6.95 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | 3.37 Mn |
| Mar 31, 2024 | 2.44 Mn |
| Dec 31, 2023 | 2.57 Mn |
| Sep 30, 2023 | 11.00 Mn |
| Jun 30, 2023 | 11.74 Mn |
| Dec 31, 2018 | 7.25 Mn |
| Sep 30, 2018 | 7.60 Mn |
| Dec 31, 2017 | 18.80 Mn |
API Access
Catheter Precision 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=VTAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VTAK", "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=VTAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();