enVVeno Medical (NVNO) Property, Plant & Equipment (Net) (2017 - 2026)
enVVeno Medical (NVNO) posted Property, Plant & Equipment (Net) of $62,000 for Q3 2026, down 24.4% from $82,000 a year earlier and down 20.5% from the prior quarter.
enVVeno Medical (NVNO) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, enVVeno Medical's Property, Plant & Equipment (Net) came in at $51,000, down 72.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for four consecutive years, with a five-year compound annual growth rate of -33.7% (FY2020 to FY2025).
- In prior years, enVVeno Medical's Property, Plant & Equipment (Net) was $182,000 in FY2024 (-45.5%), $334,000 in FY2023 (-35.9%), $521,000 in FY2022 (-15.7%) and $618,000 in FY2021 (+54.9%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $16,000 in Q1 2026 to a high of $635,000 in Q1 2022 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 17 quarters, with an average decline of 53.7% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 60.6%; the weakest was Q1 2026, with a decline of 88.7%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $78,000 (Q2 2026), $16,000 (Q1 2026) and $51,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.73 Bn |
| 10 | enVVeno Medical | 4.29 Mn | -88.81 Mn | - | 62,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62,000.00 |
| Jun 30, 2026 | 78,000.00 |
| Mar 31, 2026 | 16,000.00 |
| Dec 31, 2025 | 51,000.00 |
| Sep 30, 2025 | 82,000.00 |
| Jun 30, 2025 | 113,000.00 |
| Mar 31, 2025 | 142,000.00 |
| Dec 31, 2024 | 182,000.00 |
| Sep 30, 2024 | 218,000.00 |
| Jun 30, 2024 | 252,000.00 |
| Mar 31, 2024 | 289,000.00 |
| Dec 31, 2023 | 334,000.00 |
| Sep 30, 2023 | 385,000.00 |
| Jun 30, 2023 | 438,000.00 |
| Mar 31, 2023 | 472,000.00 |
| Dec 31, 2022 | 521,000.00 |
| Sep 30, 2022 | 566,000.00 |
| Jun 30, 2022 | 606,000.00 |
| Mar 31, 2022 | 635,000.00 |
| Dec 31, 2021 | 618,000.00 |
enVVeno Medical 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=NVNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "NVNO", "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=NVNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();