Everpure (P) Return on Sales [ROS] (2014 - 2026)
Everpure's Return on Sales [ROS] came in at 5.33% for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 4.76 percentage points from 0.57% a year earlier and up 3.43 percentage points from the prior quarter.
Everpure (P) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Everpure reported Return on Sales [ROS] of 5.26%, up 3.00 percentage points year-over-year; for FY2026 (ended Feb 1, 2026), it was 3.13%, up 0.44 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +18.63 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 2.69% in FY2025 (+0.80 pp), 1.89% in FY2024 (-1.14 pp), 3.03% in FY2023 (+7.54 pp) and -4.51% in FY2022 (+10.99 pp).
- The five-year range for quarterly Return on Sales [ROS] is -12.19% (fiscal Q1 2024) to 9.73% (fiscal Q3 2024).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.85 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2023 (a gain of 17.72 percentage points), and the weakest in fiscal Q1 2024 (a drop of 11.45 percentage points).
- Business Quant data shows P's Return on Sales [ROS] at 1.89% (Q1 2027), 8.23% (Q4 2026) and 5.59% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,017.45 Bn | 4,764.94 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 451.75 Bn | 387.68 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 326.23 Bn | 281.98 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 246.70 Bn | 200.16 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 207.84 Bn | 196.36 Bn | 7.58 Bn | 78.49% |
| 6 | Seagate Technology Holdings | 157.53 Bn | 152.52 Bn | 1.90 Bn | 42.96% |
| 7 | Sony | 145.19 Bn | 82.45 Bn | 6.53 Bn | 16.79% |
| 8 | Western Digital | 125.86 Bn | 113.99 Bn | 2.03 Bn | 41.71% |
| 9 | Hewlett Packard Enterprise | 84.81 Bn | 62.69 Bn | 4.93 Bn | 11.41% |
| 10 | Everpure | 47.67 Bn | 42.08 Bn | 811.39 Mn | 5.33% |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 5.33% |
| May 3, 2026 | 1.89% |
| Feb 1, 2026 | 8.23% |
| Nov 2, 2025 | 5.59% |
| Aug 3, 2025 | 0.57% |
| May 4, 2025 | -4.00% |
| Feb 2, 2025 | 4.83% |
| Nov 3, 2024 | 7.18% |
| Aug 4, 2024 | 3.26% |
| May 5, 2024 | -6.02% |
| Feb 4, 2024 | 7.27% |
| Nov 5, 2023 | 9.73% |
| Aug 6, 2023 | -0.90% |
| May 7, 2023 | -12.19% |
| Feb 5, 2023 | 7.97% |
| Nov 6, 2022 | 1.35% |
| Aug 7, 2022 | 2.22% |
| May 8, 2022 | -0.74% |
| Feb 6, 2022 | 4.20% |
| Oct 31, 2021 | -3.21% |
Everpure Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();