Nephros (NEPH) Accumulated Expenses (2009 - 2026)
Nephros (NEPH) reported Accumulated Expenses of $965,000 for Q2 2026, up 25.2% from $771,000 a year earlier and up 45.8% from the prior quarter.
Analysis
Nephros (NEPH) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Nephros posted Accumulated Expenses of $1.46 million, up 158.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 33.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $565,000 in FY2024 (-28.8%), $794,000 in FY2023 (+178.6%), $285,000 in FY2022 (-35.8%) and $444,000 in FY2021 (+30.2%).
- Five-year quarterly Accumulated Expenses spans a low of $185,000 in Q2 2022 and a high of $1.46 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 61.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2025 (growth of 257.5%); the low point was Q2 2022 (a decline of 61.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $662,000 (Q1 2026), $1.46 million (Q4 2025) and $1.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn |
| 3 | Danaher | 163.29 Bn | 142.96 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 152.47 Bn | 132.89 Bn | 2.08 Bn |
| 5 | Medtronic | 131.95 Bn | 97.47 Bn | 6.34 Bn |
| 6 | Stryker | 119.59 Bn | 105.78 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.18 Bn | 59.61 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 60.93 Bn | 44.24 Bn | 1.35 Bn |
| 9 | Medline | 52.61 Bn | 49.74 Bn | 1.93 Bn |
| 10 | Nephros | 35.98 Mn | 17.32 Mn | 3.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.13 Mn |
| Jun 30, 2026 | 965,000.00 |
| Mar 31, 2026 | 662,000.00 |
| Dec 31, 2025 | 1.46 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 771,000.00 |
| Mar 31, 2025 | 603,000.00 |
| Dec 31, 2024 | 565,000.00 |
| Sep 30, 2024 | 322,000.00 |
| Jun 30, 2024 | 435,000.00 |
| Mar 31, 2024 | 413,000.00 |
| Dec 31, 2023 | 794,000.00 |
| Sep 30, 2023 | 712,000.00 |
| Jun 30, 2023 | 572,000.00 |
| Mar 31, 2023 | 383,000.00 |
| Dec 31, 2022 | 285,000.00 |
| Sep 30, 2022 | 272,000.00 |
| Jun 30, 2022 | 185,000.00 |
| Mar 31, 2022 | 263,000.00 |
| Dec 31, 2021 | 444,000.00 |
API Access
Nephros 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=accumulated-expenses&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();