Nephros (NEPH) Return on Capital Employed [ROCE] (2011 - 2026)
Nephros' Return on Capital Employed [ROCE] came in at 14.36% for Q2 2026, up 1.30 percentage points from 13.06% a year earlier and up 8.31 percentage points from the prior quarter.
Nephros (NEPH) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Nephros' Return on Capital Employed [ROCE] was 11.87%, up 11.81 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a five-year change of +42.97 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 0.06% in FY2024 (+17.16 pp), -17.10% in FY2023 (+16.47 pp), -33.57% in FY2022 (-12.85 pp) and -20.73% in FY2021 (+10.38 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
- Year-over-year, Return on Capital Employed [ROCE] increased in seven of the last eight quarters, with an average year-over-year change of +13.87 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2025 (a gain of 27.77 percentage points), and the weakest in Q4 2022 (a drop of 20.60 percentage points).
- Business Quant data shows NEPH's Return on Capital Employed [ROCE] at 6.05% (Q1 2026), 10.73% (Q4 2025) and 14.06% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.00% |
| 10 | Nephros | 40.29 Mn | 21.01 Mn | 4.03 Mn | 14.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.36% |
| Mar 31, 2026 | 6.05% |
| Dec 31, 2025 | 10.73% |
| Sep 30, 2025 | 14.06% |
| Jun 30, 2025 | 13.06% |
| Mar 31, 2025 | 7.74% |
| Dec 31, 2024 | 0.06% |
| Sep 30, 2024 | -9.91% |
| Jun 30, 2024 | -14.71% |
| Mar 31, 2024 | -15.31% |
| Dec 31, 2023 | -17.17% |
| Sep 30, 2023 | -18.55% |
| Jun 30, 2023 | -28.70% |
| Mar 31, 2023 | -32.40% |
| Dec 31, 2022 | -44.44% |
| Sep 30, 2022 | -37.63% |
| Jun 30, 2022 | -29.58% |
| Mar 31, 2022 | -28.21% |
| Dec 31, 2021 | -23.84% |
| Sep 30, 2021 | -22.73% |
Nephros Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=NEPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=NEPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();