Methode Electronics (MEI) Enterprise Value (2010 - 2026)
Methode Electronics' Enterprise Value was $382.47 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 275.6% from $101.82 million a year earlier and up 129.7% from the prior quarter.
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Analysis
Methode Electronics (MEI) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Methode Electronics' Enterprise Value was -$9.33 million through Aug 1, 2026; for FY2026 (ended May 2, 2026), it was $166.52 million, up 26.6% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of -35.5% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $131.58 million in FY2025 (-51.3%), $270.16 million in FY2024 (-80.5%), $1.38 billion in FY2023 (-9.9%) and $1.54 billion in FY2022 (+3.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Enterprise Value since fiscal Q3 2024.
- Compared with a year earlier, Enterprise Value was higher in two of the last eight quarters, with an average decline of 4.5%.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q1 2027 (growth of 275.6%); the worst was fiscal Q4 2024 (a decline of 80.5%).
- Per Business Quant data, MEI's Enterprise Value in the three fiscal quarters before Q1 2027 was $166.52 million (Q4 2026), $149.39 million (Q3 2026) and $119.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 382.47 Mn |
| May 2, 2026 | 166.52 Mn |
| Jan 31, 2026 | 149.39 Mn |
| Nov 1, 2025 | 119.80 Mn |
| Aug 2, 2025 | 101.82 Mn |
| May 3, 2025 | 131.58 Mn |
| Feb 1, 2025 | 300.22 Mn |
| Nov 2, 2024 | 224.98 Mn |
| Jul 27, 2024 | 342.30 Mn |
| Apr 27, 2024 | 270.16 Mn |
| Jan 27, 2024 | 630.21 Mn |
| Oct 28, 2023 | 685.96 Mn |
| Jul 29, 2023 | 1.03 Bn |
| Apr 29, 2023 | 1.38 Bn |
| Jan 28, 2023 | 1.53 Bn |
| Oct 29, 2022 | 1.35 Bn |
| Jul 30, 2022 | 1.36 Bn |
| Apr 30, 2022 | 1.54 Bn |
| Jan 29, 2022 | 1.43 Bn |
| Oct 30, 2021 | 1.39 Bn |
API Access
Methode Electronics Enterprise Value 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=enterprise-value&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();