Methode Electronics (MEI) Return on Sales [ROS] (2010 - 2026)
Methode Electronics (MEI) reported Return on Sales [ROS] of -1.47% for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 1.93 percentage points from 0.46% a year earlier and down 5.13 percentage points from the prior quarter.
Methode Electronics (MEI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Methode Electronics' Return on Sales [ROS] came in at 0.36%, up 1.85 percentage points year-over-year; for FY2026 (ended May 2, 2026), it was 0.86%, up 3.14 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -10.89 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -2.28% in FY2025 (+7.77 pp), -10.05% in FY2024 (-17.71 pp), 7.66% in FY2023 (-1.94 pp) and 9.60% in FY2022 (-2.16 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -22.18% in fiscal Q4 2024 and a high of 11.24% in fiscal Q2 2022.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +5.60 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2025 (a gain of 21.03 percentage points); the low point was fiscal Q2 2024 (a drop of 28.20 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 3.66% (Q4 2026), -2.61% (Q3 2026) and 1.17% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Methode Electronics | 561.77 Mn | 53.77 Mn | 47.70 Mn | -1.47% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -1.47% |
| May 2, 2026 | 3.66% |
| Jan 31, 2026 | -2.61% |
| Nov 1, 2025 | 1.17% |
| Aug 2, 2025 | 0.46% |
| May 3, 2025 | -9.18% |
| Feb 1, 2025 | -0.92% |
| Nov 2, 2024 | 3.21% |
| Jul 27, 2024 | -2.90% |
| Apr 27, 2024 | -22.18% |
| Jan 27, 2024 | -1.16% |
| Oct 28, 2023 | -17.81% |
| Jul 29, 2023 | 1.31% |
| Apr 29, 2023 | 2.82% |
| Jan 28, 2023 | 9.75% |
| Oct 29, 2022 | 10.38% |
| Jul 30, 2022 | 7.72% |
| Apr 30, 2022 | 5.06% |
| Jan 29, 2022 | 10.22% |
| Oct 30, 2021 | 11.24% |
Methode 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=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MEI", "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=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();