Nephros (NEPH) Total Liabilities (2010 - 2026)
Nephros' Total Liabilities came in at $3.8 million for Q2 2026, up 43.8% from $2.64 million a year earlier and up 22.9% from the prior quarter.
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Analysis
Nephros (NEPH) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nephros' Total Liabilities was $3.44 million, up 31.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $2.63 million in FY2024 (-25.1%), $3.5 million in FY2023 (+65.4%), $2.12 million in FY2022 (-27.0%) and $2.9 million in FY2021 (-1.2%).
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2024 (growth of 83.4%), and the weakest in Q3 2021 (a decline of 34.5%).
- Business Quant data shows NEPH's Total Liabilities at $3.09 million (Q1 2026), $3.44 million (Q4 2025) and $3.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn | 3.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.80 Mn |
| Mar 31, 2026 | 3.09 Mn |
| Dec 31, 2025 | 3.44 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 2.64 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 2.63 Mn |
| Sep 30, 2024 | 2.21 Mn |
| Jun 30, 2024 | 3.17 Mn |
| Mar 31, 2024 | 3.24 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 30, 2023 | 2.30 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 2.03 Mn |
| Dec 31, 2022 | 2.12 Mn |
| Sep 30, 2022 | 1.75 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 2.13 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 2.49 Mn |
API Access
Nephros Total 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-liabilities&ticker=NEPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NEPH", "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-liabilities&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();