Methode Electronics (MEI) Return on Assets [ROA] (2011 - 2026)
Methode Electronics (MEI) posted Return on Assets [ROA] of -2.86% for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 1.34 percentage points from -4.20% a year earlier but down 0.13 percentage points from the prior quarter.
Methode Electronics (MEI) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), Methode Electronics' Return on Assets [ROA] came in at -2.73%, up 1.89 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of -11.35 percentage points (FY2021 to FY2026).
- In prior fiscal years, Methode Electronics' Return on Assets [ROA] was -4.62% in FY2025 (+3.65 pp), -8.27% in FY2024 (-13.46 pp), 5.20% in FY2023 (-1.96 pp) and 7.16% in FY2022 (-1.46 pp).
- Quarterly Return on Assets [ROA] has run from a low of -10.25% in fiscal Q1 2025 to a high of 8.28% in fiscal Q2 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last six quarters, with an average year-over-year change of +1.12 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q1 2026, with a gain of 6.04 percentage points; the weakest was fiscal Q1 2025, with a drop of 13.83 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -2.73% (Q4 2026), -4.97% (Q3 2026) and -4.88% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 19.50% |
| 10 | Methode Electronics | 561.77 Mn | 53.77 Mn | 47.70 Mn | -2.86% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -2.86% |
| May 2, 2026 | -2.73% |
| Jan 31, 2026 | -4.97% |
| Nov 1, 2025 | -4.88% |
| Aug 2, 2025 | -4.20% |
| May 3, 2025 | -4.80% |
| Feb 1, 2025 | -6.84% |
| Nov 2, 2024 | -6.45% |
| Jul 27, 2024 | -10.25% |
| Apr 27, 2024 | -8.52% |
| Jan 27, 2024 | -3.89% |
| Oct 28, 2023 | -1.73% |
| Jul 29, 2023 | 3.58% |
| Apr 29, 2023 | 5.13% |
| Jan 28, 2023 | 6.04% |
| Oct 29, 2022 | 6.80% |
| Jul 30, 2022 | 6.81% |
| Apr 30, 2022 | 7.30% |
| Jan 29, 2022 | 8.24% |
| Oct 30, 2021 | 8.28% |
Methode Electronics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();