Nephros (NEPH) Operating Margin (2010 - 2026)
Nephros (NEPH) recorded Operating Margin of 20.16% in Q2 2026, up 14.55 percentage points from 5.61% a year earlier and up 18.30 percentage points from the prior quarter.
Nephros (NEPH) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Nephros' Operating Margin came in at 7.92% as of Jun 30, 2026, down 0.09 percentage points year-over-year; for FY2025, it came in at 6.10%, up 6.06 percentage points from FY2024.
- Annual Operating Margin has increased for three straight years, with a five-year change of +56.04 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 0.04% in FY2024 (+11.23 pp), -11.19% in FY2023 (+32.27 pp), -43.46% in FY2022 (-11.63 pp) and -31.83% in FY2021 (+18.11 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin in data going back to Q3 2010.
- On a year-over-year basis, Operating Margin rose in six of the last eight quarters, with an average year-over-year change of +8.72 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 63.38 percentage points in Q1 2023, against a drop of 34.45 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.86% (Q1 2026), 0.38% (Q4 2025) and 6.59% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 13.31% |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn | 20.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.16% |
| Mar 31, 2026 | 1.86% |
| Dec 31, 2025 | 0.38% |
| Sep 30, 2025 | 6.59% |
| Jun 30, 2025 | 5.61% |
| Mar 31, 2025 | 11.61% |
| Dec 31, 2024 | 8.19% |
| Sep 30, 2024 | 5.86% |
| Jun 30, 2024 | -9.75% |
| Mar 31, 2024 | -5.68% |
| Dec 31, 2023 | -19.94% |
| Sep 30, 2023 | -5.42% |
| Jun 30, 2023 | -12.27% |
| Mar 31, 2023 | -8.28% |
| Dec 31, 2022 | -27.09% |
| Sep 30, 2022 | -53.18% |
| Jun 30, 2022 | -28.56% |
| Mar 31, 2022 | -71.65% |
| Dec 31, 2021 | -26.58% |
| Sep 30, 2021 | -31.11% |
Nephros Operating Margin 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=operating-margin&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();