Nuwellis (NUWE) Total Current Liabilities (2010 - 2026)
Nuwellis (NUWE) posted Total Current Liabilities of $4.01 million for Q2 2026, up 3.0% from $3.89 million a year earlier and up 7.5% from the prior quarter.
Nuwellis (NUWE) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nuwellis' Total Current Liabilities came in at $3.03 million, up 18.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In prior years, Nuwellis' Total Current Liabilities was $2.56 million in FY2024 (-19.3%), $3.17 million in FY2023 (-32.3%), $4.69 million in FY2022 (+41.8%) and $3.31 million in FY2021 (-7.8%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q2 2024.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last four quarters, with growth averaging 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2022, with growth of 41.8%; the weakest was Q1 2025, with a decline of 36.4%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $3.73 million (Q1 2026), $3.03 million (Q4 2025) and $3.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Nuwellis | 105,523.12 | -10.08 Mn | 1.50 Mn | 4.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.01 Mn |
| Mar 31, 2026 | 3.73 Mn |
| Dec 31, 2025 | 3.03 Mn |
| Sep 30, 2025 | 3.52 Mn |
| Jun 30, 2025 | 3.89 Mn |
| Mar 31, 2025 | 2.75 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | 2.70 Mn |
| Jun 30, 2024 | 4.02 Mn |
| Mar 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 3.17 Mn |
| Sep 30, 2023 | 2.99 Mn |
| Jun 30, 2023 | 3.83 Mn |
| Mar 31, 2023 | 4.11 Mn |
| Dec 31, 2022 | 4.69 Mn |
| Sep 30, 2022 | 3.61 Mn |
| Jun 30, 2022 | 3.46 Mn |
| Mar 31, 2022 | 3.39 Mn |
| Dec 31, 2021 | 3.31 Mn |
| Sep 30, 2021 | 3.80 Mn |
Nuwellis Total 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-current-liabilities&ticker=NUWE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NUWE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();