Methode Electronics (MEI) Current Assets (2011 - 2026)
Methode Electronics (MEI) recorded Current Assets of $584.4 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 6.4% from $549.2 million a year earlier but down 2.6% from the prior quarter.
Methode Electronics (MEI) Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics reported Current Assets of $600 million, up 7.2% from FY2025.
- Annual Current Assets has a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Across earlier fiscal years, Current Assets came in at $559.9 million in FY2025 (-12.2%), $637.7 million in FY2024 (-4.0%), $664.4 million in FY2023 (+5.6%) and $629 million in FY2022 (-6.7%).
- Quarterly Current Assets has ranged from $549.2 million in fiscal Q1 2026 to $671 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Current Assets has increased for three consecutive quarters, with an average decline of 3.6% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 7.2% in fiscal Q4 2026, against a decline of 12.2% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $600 million (Q4 2026), $585.3 million (Q3 2026) and $555.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 54.45 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 17.82 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 14.77 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 7.70 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 9.98 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 9.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 14.11 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 6.60 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn | 584.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 584.40 Mn |
| May 2, 2026 | 600.00 Mn |
| Jan 31, 2026 | 585.30 Mn |
| Nov 1, 2025 | 555.30 Mn |
| Aug 2, 2025 | 549.20 Mn |
| May 3, 2025 | 559.90 Mn |
| Feb 1, 2025 | 572.20 Mn |
| Nov 2, 2024 | 612.90 Mn |
| Jul 27, 2024 | 611.80 Mn |
| Apr 27, 2024 | 637.70 Mn |
| Jan 27, 2024 | 629.80 Mn |
| Oct 28, 2023 | 636.50 Mn |
| Jul 29, 2023 | 657.50 Mn |
| Apr 29, 2023 | 664.40 Mn |
| Jan 28, 2023 | 671.00 Mn |
| Oct 29, 2022 | 658.40 Mn |
| Jul 30, 2022 | 639.10 Mn |
| Apr 30, 2022 | 629.00 Mn |
| Jan 29, 2022 | 640.40 Mn |
| Oct 30, 2021 | 643.10 Mn |
Methode Electronics Current Assets 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=current-assets&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();