Nephros (NEPH) Long-Term Debt Repayments (2013 - 2026)
Nephros (NEPH) recorded Long-Term Debt Repayments of $2,000 in Q2 2026, up 100.0% from $1,000 a year earlier and up 100.0% from the prior quarter.
Nephros (NEPH) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
On a TTM basis, Nephros' Long-Term Debt Repayments came in at $6,000 as of Jun 30, 2026, up 100.0% year-over-year; for FY2025, it was $5,000, unchanged from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -53.5% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $5,000 in FY2024 (-93.0%), $71,000 in FY2023 (-73.8%), $271,000 in FY2022 (+8.4%) and $250,000 in FY2021 (+8.2%).
- Quarterly Long-Term Debt Repayments has ranged from $1,000 in Q4 2024 to $71,000 in Q1 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last five quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 100.0% in Q2 2026, against a decline of 97.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1,000 (Q1 2026), $1,000 (Q4 2025) and $2,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | Nephros | 38.23 Mn | 18.94 Mn | 4.03 Mn | 2,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,000.00 |
| Mar 31, 2026 | 1,000.00 |
| Dec 31, 2025 | 1,000.00 |
| Sep 30, 2025 | 2,000.00 |
| Jun 30, 2025 | 1,000.00 |
| Mar 31, 2025 | 1,000.00 |
| Dec 31, 2024 | 1,000.00 |
| Jun 30, 2024 | 2,000.00 |
| Mar 31, 2024 | 2,000.00 |
| Dec 31, 2023 | 3,000.00 |
| Jun 30, 2023 | 2,000.00 |
| Mar 31, 2023 | 74,000.00 |
| Dec 31, 2022 | 80,000.00 |
| Sep 30, 2022 | 69,000.00 |
| Jun 30, 2022 | 67,000.00 |
| Mar 31, 2022 | 70,000.00 |
| Dec 31, 2021 | 65,000.00 |
| Sep 30, 2021 | 68,000.00 |
| Jun 30, 2021 | 66,000.00 |
| Mar 31, 2021 | 65,000.00 |
Nephros Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();