Everpure (P) Return on Capital Employed [ROCE] (2016 - 2026)
Everpure (P) recorded Return on Capital Employed [ROCE] of 8.04% in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 4.86 percentage points from 3.18% a year earlier and up 2.17 percentage points from the prior quarter.
Everpure (P) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Everpure reported Return on Capital Employed [ROCE] of 4.77%, up 0.91 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] has a five-year change of +19.02 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at 3.85% in FY2025 (+1.45 pp), 2.40% in FY2024 (-2.86 pp), 5.25% in FY2023 (+10.11 pp) and -4.86% in FY2022 (+9.40 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q4 2016.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +0.94 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 12.70 percentage points in fiscal Q2 2023, against a drop of 2.56 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 5.87% (Q1 2027), 4.53% (Q4 2026) and 2.78% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 70.57% |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 17.86% |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 29.33% |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 38.06% |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 16.11% |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 115.35% |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 76.09% |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 57.31% |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 5.09% |
| 10 | Everpure | 32.28 Bn | 26.69 Bn | 811.39 Mn | 8.04% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 8.04% |
| May 3, 2026 | 5.87% |
| Feb 1, 2026 | 4.53% |
| Nov 2, 2025 | 2.78% |
| Aug 3, 2025 | 3.18% |
| May 4, 2025 | 4.01% |
| Feb 2, 2025 | 3.69% |
| Nov 3, 2024 | 4.22% |
| Aug 4, 2024 | 4.74% |
| May 5, 2024 | 3.46% |
| Feb 4, 2024 | 2.50% |
| Nov 5, 2023 | 3.03% |
| Aug 6, 2023 | -0.23% |
| May 7, 2023 | 0.76% |
| Feb 5, 2023 | 5.07% |
| Nov 6, 2022 | 3.19% |
| Aug 7, 2022 | 1.52% |
| May 8, 2022 | -1.74% |
| Feb 6, 2022 | -4.82% |
| Oct 31, 2021 | -8.58% |
Everpure 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=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "P", "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=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();