Methode Electronics (MEI) Operating Expenses (2010 - 2026)
Methode Electronics' Operating Expenses came in at $45.9 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 25.4% from $36.6 million a year earlier but down 17.4% from the prior quarter.
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Analysis
Methode Electronics (MEI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Methode Electronics reported Operating Expenses of $179.6 million, up 16.4% year-over-year; for FY2026 (ended May 2, 2026), it was $170.3 million, up 3.9% from FY2025.
- Operating Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $163.9 million in FY2025 (+1.9%), $160.9 million in FY2024 (+3.9%), $154.9 million in FY2023 (+15.5%) and $134.1 million in FY2022 (+5.7%).
- The five-year range for quarterly Operating Expenses is $31.2 million (fiscal Q2 2022) to $55.6 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2026 (growth of 48.7%), and the weakest in fiscal Q1 2026 (a decline of 20.8%).
- Business Quant data shows MEI's Operating Expenses at $55.6 million (Q4 2026), $39.1 million (Q3 2026) and $39 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Methode Electronics | 512.58 Mn | 4.58 Mn | 47.70 Mn | 45.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 45.90 Mn |
| May 2, 2026 | 55.60 Mn |
| Jan 31, 2026 | 39.10 Mn |
| Nov 1, 2025 | 39.00 Mn |
| Aug 2, 2025 | 36.60 Mn |
| May 3, 2025 | 37.40 Mn |
| Feb 1, 2025 | 37.70 Mn |
| Nov 2, 2024 | 42.60 Mn |
| Jul 27, 2024 | 46.20 Mn |
| Apr 27, 2024 | 41.60 Mn |
| Jan 27, 2024 | 33.90 Mn |
| Oct 28, 2023 | 40.90 Mn |
| Jul 29, 2023 | 44.50 Mn |
| Apr 29, 2023 | 50.10 Mn |
| Jan 28, 2023 | 32.90 Mn |
| Oct 29, 2022 | 36.60 Mn |
| Jul 30, 2022 | 35.30 Mn |
| Apr 30, 2022 | 35.60 Mn |
| Jan 29, 2022 | 34.50 Mn |
| Oct 30, 2021 | 31.20 Mn |
API Access
Methode Electronics Operating Expenses 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=operating-expenses&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();