Nephros (NEPH) Other Accumulated Expenses (2011 - 2025)
Nephros (NEPH) posted Other Accumulated Expenses of $171,000 for Q4 2025, up 39.0% from $123,000 a year earlier.
Analysis
Nephros (NEPH) Other Accumulated Expenses (2011 - 2025) Analysis & Trends
Since Q4 2011, Nephros has reported Other Accumulated Expenses for 14 quarters.
- Annual Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In prior years, Nephros' Other Accumulated Expenses was $123,000 in FY2024 (+5.1%), $117,000 in FY2023 (+225.0%), $36,000 in FY2022 (-61.7%) and $94,000 in FY2021 (+40.3%).
- The Q4 2025 figure stands as the highest quarterly Other Accumulated Expenses since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Nephros | 38.99 Mn | 19.70 Mn | 4.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 171,000.00 |
| Dec 31, 2024 | 123,000.00 |
| Dec 31, 2023 | 117,000.00 |
| Dec 31, 2022 | 36,000.00 |
| Dec 31, 2021 | 94,000.00 |
| Dec 31, 2020 | 67,000.00 |
| Dec 31, 2019 | 65,000.00 |
| Dec 31, 2018 | 189,000.00 |
| Dec 31, 2017 | 59,000.00 |
| Dec 31, 2016 | 51,000.00 |
| Dec 31, 2015 | 45,000.00 |
| Dec 31, 2014 | 47,000.00 |
| Dec 31, 2012 | 70,000.00 |
| Dec 31, 2011 | 19,000.00 |
API Access
Nephros Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();