Nuwellis (NUWE) Total Non-Current Liabilities (2015 - 2026)
Nuwellis' Total Non-Current Liabilities came in at $4.22 million for Q2 2026, up 3.2% from $4.09 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Nuwellis (NUWE) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Nuwellis' Total Non-Current Liabilities was $3.11 million, up 8.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.87 million in FY2024 (-27.2%), $3.94 million in FY2023 (-27.7%), $5.45 million in FY2022 (+27.0%) and $4.29 million in FY2021 (+16.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q2 2024.
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 31.2%), and the weakest in Q1 2025 (a decline of 37.6%).
- Business Quant data shows NUWE's Total Non-Current Liabilities at $3.94 million (Q1 2026), $3.11 million (Q4 2025) and $3.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Nuwellis | 135,932.25 | -10.05 Mn | 1.50 Mn | 4.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.22 Mn |
| Mar 31, 2026 | 3.94 Mn |
| Dec 31, 2025 | 3.11 Mn |
| Sep 30, 2025 | 3.66 Mn |
| Jun 30, 2025 | 4.09 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 2.87 Mn |
| Sep 30, 2024 | 3.07 Mn |
| Jun 30, 2024 | 4.45 Mn |
| Mar 31, 2024 | 4.81 Mn |
| Dec 31, 2023 | 3.94 Mn |
| Sep 30, 2023 | 3.59 Mn |
| Jun 30, 2023 | 4.48 Mn |
| Mar 31, 2023 | 4.82 Mn |
| Dec 31, 2022 | 5.45 Mn |
| Sep 30, 2022 | 4.42 Mn |
| Jun 30, 2022 | 4.33 Mn |
| Mar 31, 2022 | 4.32 Mn |
| Dec 31, 2021 | 4.29 Mn |
| Sep 30, 2021 | 3.83 Mn |
API Access
Nuwellis 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=NUWE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NUWE", "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=NUWE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();