Methode Electronics (MEI) Revenue (2010 - 2026)
Methode Electronics' Revenue was $265.4 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 10.4% from $240.5 million a year earlier but down 11.0% from the prior quarter.
Methode Electronics (MEI) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Methode Electronics' Revenue was $1.04 billion through Aug 1, 2026, up 1.4% year-over-year; for FY2026 (ended May 2, 2026), it was $1.02 billion, down 2.8% from FY2025.
- Revenue has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $1.05 billion in FY2025 (-6.0%), $1.11 billion in FY2024 (-5.5%), $1.18 billion in FY2023 (+1.4%) and $1.16 billion in FY2022 (+6.9%).
- Quarterly Revenue has moved between $233.7 million (fiscal Q3 2026) and $315.9 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Revenue was higher in three of the last eight quarters, with an average decline of 1.5%.
- The best year-over-year quarter for Revenue over five years was fiscal Q4 2026 (growth of 15.9%); the worst was fiscal Q2 2026 (a decline of 15.6%).
- Per Business Quant data, MEI's Revenue in the three fiscal quarters before Q1 2027 was $298.1 million (Q4 2026), $233.7 million (Q3 2026) and $246.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Methode Electronics | 491.19 Mn | -16.81 Mn | 47.70 Mn | 265.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 265.40 Mn |
| May 2, 2026 | 298.10 Mn |
| Jan 31, 2026 | 233.70 Mn |
| Nov 1, 2025 | 246.90 Mn |
| Aug 2, 2025 | 240.50 Mn |
| May 3, 2025 | 257.10 Mn |
| Feb 1, 2025 | 239.90 Mn |
| Nov 2, 2024 | 292.60 Mn |
| Jul 27, 2024 | 258.50 Mn |
| Apr 27, 2024 | 277.30 Mn |
| Jan 27, 2024 | 259.50 Mn |
| Oct 28, 2023 | 288.00 Mn |
| Jul 29, 2023 | 289.70 Mn |
| Apr 29, 2023 | 301.20 Mn |
| Jan 28, 2023 | 280.10 Mn |
| Oct 29, 2022 | 315.90 Mn |
| Jul 30, 2022 | 282.40 Mn |
| Apr 30, 2022 | 288.70 Mn |
| Jan 29, 2022 | 291.60 Mn |
| Oct 30, 2021 | 295.50 Mn |
Methode Electronics Revenue 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=revenue&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();