Nephros (NEPH) Depreciation & Amortization (CF) (2010 - 2026)
Nephros' Depreciation & Amortization (CF) was $624,000 in Q2 2026, compared with $13,000 a year earlier.
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Analysis
Nephros (NEPH) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nephros' Depreciation & Amortization (CF) was $660,000 through Jun 30, 2026; for FY2025, it was $55,000, up 19.6% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $46,000 in FY2024 (+17.9%), $39,000 in FY2023 (-58.1%), $93,000 in FY2022 (+144.7%) and $38,000 in FY2021 (+52.0%).
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2010.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in four of the last six quarters, with growth averaging 11.0%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2022 (growth of 142.9%); the worst was Q2 2023 (a decline of 91.7%).
- Per Business Quant data, NEPH's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $11,000 (Q1 2026), $13,000 (Q4 2025) and $12,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn | 624,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 624,000.00 |
| Mar 31, 2026 | 11,000.00 |
| Dec 31, 2025 | 13,000.00 |
| Sep 30, 2025 | 12,000.00 |
| Jun 30, 2025 | 13,000.00 |
| Mar 31, 2025 | 17,000.00 |
| Dec 31, 2024 | 12,000.00 |
| Sep 30, 2024 | 12,000.00 |
| Jun 30, 2024 | 11,000.00 |
| Mar 31, 2024 | 11,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Sep 30, 2023 | 1,000.00 |
| Jun 30, 2023 | 1,000.00 |
| Mar 31, 2023 | 10,000.00 |
| Dec 31, 2022 | 11,000.00 |
| Sep 30, 2022 | 3,000.00 |
| Jun 30, 2022 | 12,000.00 |
| Mar 31, 2022 | 17,000.00 |
| Dec 31, 2021 | 16,000.00 |
| Sep 30, 2021 | 7,000.00 |
API Access
Nephros Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=NEPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();