Richardson Electronics (RELL) Return on Sales [ROS] (2010 - 2026)
Richardson Electronics (RELL) recorded Return on Sales [ROS] of 5.84% in fiscal Q4 2026 (quarter ended May 30, 2026), up 4.63 percentage points from 1.22% a year earlier and up 3.14 percentage points from the prior quarter.
Richardson Electronics (RELL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Richardson Electronics reported Return on Sales [ROS] of 2.83%, up 4.01 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +1.20 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -1.18% in FY2025 (-1.36 pp), 0.18% in FY2024 (-9.33 pp), 9.51% in FY2023 (+2.41 pp) and 7.10% in FY2022 (+5.47 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +1.33 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 7.80 percentage points in fiscal Q3 2026, against a drop of 15.49 percentage points in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 2.70% (Q3 2026), 0.25% (Q2 2026) and 1.77% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 26.67% |
| 10 | Richardson Electronics | 223.19 Mn | 93.12 Mn | 20.66 Mn | 5.84% |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 5.84% |
| Feb 28, 2026 | 2.70% |
| Nov 29, 2025 | 0.25% |
| Aug 30, 2025 | 1.77% |
| May 31, 2025 | 1.22% |
| Mar 1, 2025 | -5.10% |
| Nov 30, 2024 | -1.35% |
| Aug 31, 2024 | 0.59% |
| Jun 1, 2024 | -0.24% |
| Mar 2, 2024 | 1.92% |
| Dec 2, 2023 | -4.57% |
| Sep 2, 2023 | 2.80% |
| May 27, 2023 | 2.37% |
| Feb 25, 2023 | 10.82% |
| Nov 26, 2022 | 10.92% |
| Aug 27, 2022 | 12.99% |
| May 28, 2022 | 8.09% |
| Feb 26, 2022 | 6.55% |
| Nov 27, 2021 | 8.37% |
| Aug 28, 2021 | 5.27% |
Richardson Electronics 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=RELL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RELL", "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=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();