Vaso (VASO) Non-Current Assets (2011 - 2026)
Vaso's Non-Current Assets was $30.72 million in Q2 2026, down 5.8% from $32.61 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Vaso (VASO) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Vaso came in at $29.79 million, down 6.2% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $31.75 million in FY2024 (+3.6%), $30.66 million in FY2023 (unchanged), $30.66 million in FY2022 (+24.8%) and $24.56 million in FY2021 (-12.6%).
- Quarterly Non-Current Assets has moved between $24.31 million (Q3 2022) and $32.61 million (Q2 2025) over five years.
- Compared with a year earlier, Non-Current Assets has declined for three straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2023 (growth of 25.5%); the worst was Q4 2021 (a decline of 12.6%).
- Per Business Quant data, VASO's Non-Current Assets in the three quarters before Q2 2026 was $31.84 million (Q1 2026), $29.79 million (Q4 2025) and $32.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Vaso | 49.30 Mn | -79.90 Mn | 8.89 Mn | 30.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.72 Mn |
| Mar 31, 2026 | 31.84 Mn |
| Dec 31, 2025 | 29.79 Mn |
| Sep 30, 2025 | 32.57 Mn |
| Jun 30, 2025 | 32.61 Mn |
| Mar 31, 2025 | 31.93 Mn |
| Dec 31, 2024 | 31.75 Mn |
| Sep 30, 2024 | 30.95 Mn |
| Jun 30, 2024 | 31.17 Mn |
| Mar 31, 2024 | 30.45 Mn |
| Dec 31, 2023 | 30.66 Mn |
| Sep 30, 2023 | 29.83 Mn |
| Jun 30, 2023 | 30.60 Mn |
| Mar 31, 2023 | 31.12 Mn |
| Dec 31, 2022 | 30.66 Mn |
| Sep 30, 2022 | 24.31 Mn |
| Jun 30, 2022 | 24.38 Mn |
| Mar 31, 2022 | 24.82 Mn |
| Dec 31, 2021 | 24.56 Mn |
| Sep 30, 2021 | 26.54 Mn |
API Access
Vaso Non-Current Assets 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=non-current-assets&ticker=VASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();