enVVeno Medical (NVNO) Non-Current Assets (2017 - 2026)
enVVeno Medical's Non-Current Assets came in at $578,000 for Q2 2026, down 40.6% from $973,000 a year earlier and down 4.9% from the prior quarter.
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Analysis
enVVeno Medical (NVNO) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, enVVeno Medical's Non-Current Assets was $736,000, down 39.7% from FY2024.
- Non-Current Assets has declined in each of the last four years, with a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $1.22 million in FY2024 (-28.7%), $1.71 million in FY2023 (-23.1%), $2.23 million in FY2022 (-16.3%) and $2.66 million in FY2021 (+174.5%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets in data going back to Q4 2017.
- Year-over-year, Non-Current Assets has declined for 15 consecutive quarters, with an average decline of 35.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2022 (growth of 391.9%), and the weakest in Q2 2023 (a decline of 83.7%).
- Business Quant data shows NVNO's Non-Current Assets at $608,000 (Q1 2026), $736,000 (Q4 2025) and $853,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | enVVeno Medical | 5.80 Mn | 5.80 Mn | - | 578,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 578,000.00 |
| Mar 31, 2026 | 608,000.00 |
| Dec 31, 2025 | 736,000.00 |
| Sep 30, 2025 | 853,000.00 |
| Jun 30, 2025 | 973,000.00 |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 1.46 Mn |
| Mar 31, 2024 | 1.58 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 1.88 Mn |
| Jun 30, 2023 | 1.98 Mn |
| Mar 31, 2023 | 2.09 Mn |
| Dec 31, 2022 | 2.23 Mn |
| Sep 30, 2022 | 4.75 Mn |
| Jun 30, 2022 | 12.17 Mn |
| Mar 31, 2022 | 2.57 Mn |
| Dec 31, 2021 | 2.66 Mn |
| Sep 30, 2021 | 965,259.00 |
API Access
enVVeno Medical 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=NVNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=NVNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();