Methode Electronics (MEI) EBITDA (2010 - 2026)
Methode Electronics' EBITDA was $10.2 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), down 36.3% from $16 million a year earlier and down 59.5% from the prior quarter.
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Analysis
Methode Electronics (MEI) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Methode Electronics' EBITDA was $61.8 million through Aug 1, 2026, up 40.5% year-over-year; for FY2026 (ended May 2, 2026), it came in at $67.6 million, up 95.4% from FY2025.
- EBITDA shows a five-year compound annual growth rate of -17.7% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $34.6 million in FY2025, -$54.1 million in FY2024, $139.9 million in FY2023 (-14.9%) and $164.3 million in FY2022 (-8.4%).
- Quarterly EBITDA has moved between -$46.9 million (fiscal Q4 2024) and $46.5 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last five quarters, with growth averaging 10.6%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2026 (growth of 142.4%); the worst was fiscal Q3 2024 (a decline of 69.9%).
- Per Business Quant data, MEI's EBITDA in the three fiscal quarters before Q1 2027 was $25.2 million (Q4 2026), $8.5 million (Q3 2026) and $17.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn | 10.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 10.20 Mn |
| May 2, 2026 | 25.20 Mn |
| Jan 31, 2026 | 8.50 Mn |
| Nov 1, 2025 | 17.90 Mn |
| Aug 2, 2025 | 16.00 Mn |
| May 3, 2025 | -7.60 Mn |
| Feb 1, 2025 | 11.90 Mn |
| Nov 2, 2024 | 23.70 Mn |
| Jul 27, 2024 | 6.60 Mn |
| Apr 27, 2024 | -46.90 Mn |
| Jan 27, 2024 | 11.90 Mn |
| Oct 28, 2023 | -36.90 Mn |
| Jul 29, 2023 | 17.80 Mn |
| Apr 29, 2023 | 21.20 Mn |
| Jan 28, 2023 | 39.60 Mn |
| Oct 29, 2022 | 45.00 Mn |
| Jul 30, 2022 | 34.10 Mn |
| Apr 30, 2022 | 27.60 Mn |
| Jan 29, 2022 | 43.50 Mn |
| Oct 30, 2021 | 46.50 Mn |
API Access
Methode Electronics EBITDA 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=ebitda&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();