Vaso (VASO) Property, Plant & Equipment (Net) (2011 - 2026)
Vaso's Property, Plant & Equipment (Net) came in at $101,000 for Q2 2026, down 94.5% from $1.85 million a year earlier and down 91.9% from the prior quarter.
Vaso (VASO) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Vaso's Property, Plant & Equipment (Net) was $121,000, down 92.2% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -50.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $1.54 million in FY2024 (+31.5%), $1.17 million in FY2023 (-12.4%), $1.34 million in FY2022 (-38.3%) and $2.17 million in FY2021 (-44.1%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2012.
- Year-over-year, Property, Plant & Equipment (Net) has declined for four consecutive quarters, with an average decline of 13.1% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2024 (growth of 34.3%), and the weakest in Q2 2026 (a decline of 94.5%).
- Business Quant data shows VASO's Property, Plant & Equipment (Net) at $1.25 million (Q1 2026), $121,000 (Q4 2025) and $1.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Vaso | 49.30 Mn | -79.90 Mn | 8.89 Mn | 101,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101,000.00 |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 121,000.00 |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 1.59 Mn |
| Dec 31, 2024 | 1.54 Mn |
| Sep 30, 2024 | 1.64 Mn |
| Jun 30, 2024 | 1.42 Mn |
| Mar 31, 2024 | 1.30 Mn |
| Dec 31, 2023 | 1.17 Mn |
| Sep 30, 2023 | 1.22 Mn |
| Jun 30, 2023 | 1.27 Mn |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 1.58 Mn |
| Mar 31, 2022 | 2.06 Mn |
| Dec 31, 2021 | 2.17 Mn |
| Sep 30, 2021 | 3.02 Mn |
Vaso Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VASO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();