Vaso (VASO) Total Non-Current Liabilities (2011 - 2026)
Vaso (VASO) recorded Total Non-Current Liabilities of $23.84 million in Q2 2026, up 3.4% from $23.06 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Vaso (VASO) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Vaso reported Total Non-Current Liabilities of $22.07 million, up 7.6% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $20.52 million in FY2024 (+8.7%), $18.87 million in FY2023 (+4.4%), $18.07 million in FY2022 (+79.8%) and $10.05 million in FY2021 (-26.1%).
- Quarterly Total Non-Current Liabilities has ranged from $8.41 million in Q3 2021 to $24.64 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for eight consecutive quarters, with growth averaging 15.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 85.3% in Q1 2023, against a decline of 26.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.82 million (Q1 2026), $22.07 million (Q4 2025) and $24.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Vaso | 49.30 Mn | -79.90 Mn | 8.89 Mn | 23.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.84 Mn |
| Mar 31, 2026 | 23.82 Mn |
| Dec 31, 2025 | 22.07 Mn |
| Sep 30, 2025 | 24.64 Mn |
| Jun 30, 2025 | 23.06 Mn |
| Mar 31, 2025 | 21.02 Mn |
| Dec 31, 2024 | 20.52 Mn |
| Sep 30, 2024 | 18.12 Mn |
| Jun 30, 2024 | 18.51 Mn |
| Mar 31, 2024 | 16.59 Mn |
| Dec 31, 2023 | 18.87 Mn |
| Sep 30, 2023 | 17.13 Mn |
| Jun 30, 2023 | 19.27 Mn |
| Mar 31, 2023 | 19.92 Mn |
| Dec 31, 2022 | 18.07 Mn |
| Sep 30, 2022 | 11.49 Mn |
| Jun 30, 2022 | 10.64 Mn |
| Mar 31, 2022 | 10.75 Mn |
| Dec 31, 2021 | 10.05 Mn |
| Sep 30, 2021 | 8.41 Mn |
API Access
Vaso 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=VASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VASO", "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=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();