Methode Electronics (MEI) Cash & Equivalents (2010 - 2026)
Methode Electronics (MEI) recorded Cash & Equivalents of $116.2 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), down 4.0% from $121.1 million a year earlier and down 16.8% from the prior quarter.
Methode Electronics (MEI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics reported Cash & Equivalents of $139.6 million, up 34.7% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -9.8% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $103.6 million in FY2025 (-35.9%), $161.5 million in FY2024 (+2.9%), $157 million in FY2023 (-8.7%) and $172 million in FY2022 (-26.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Cash & Equivalents since fiscal Q4 2025.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 34.7% in fiscal Q4 2026, against a decline of 35.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $139.6 million (Q4 2026), $133.7 million (Q3 2026) and $118.5 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Methode Electronics | 561.77 Mn | 53.77 Mn | 47.70 Mn | 116.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 116.20 Mn |
| May 2, 2026 | 139.60 Mn |
| Jan 31, 2026 | 133.70 Mn |
| Nov 1, 2025 | 118.50 Mn |
| Aug 2, 2025 | 121.10 Mn |
| May 3, 2025 | 103.60 Mn |
| Feb 1, 2025 | 103.80 Mn |
| Nov 2, 2024 | 97.00 Mn |
| Jul 27, 2024 | 111.30 Mn |
| Apr 27, 2024 | 161.50 Mn |
| Jan 27, 2024 | 122.90 Mn |
| Oct 28, 2023 | 122.50 Mn |
| Jul 29, 2023 | 147.90 Mn |
| Apr 29, 2023 | 157.00 Mn |
| Jan 28, 2023 | 164.70 Mn |
| Oct 29, 2022 | 129.60 Mn |
| Jul 30, 2022 | 152.40 Mn |
| Apr 30, 2022 | 172.00 Mn |
| Jan 29, 2022 | 153.10 Mn |
| Oct 30, 2021 | 177.20 Mn |
Methode Electronics Cash & Equivalents 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=cash-and-equivalents&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();