Methode Electronics (MEI) Total Liabilities (2011 - 2026)
Methode Electronics (MEI) reported Total Liabilities of $600.6 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 0.4% from $603.2 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Methode Electronics (MEI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics posted Total Liabilities of $628.6 million, up 2.6% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $612.5 million in FY2025 (-3.9%), $637.5 million in FY2024 (unchanged), $637.3 million in FY2023 (+34.1%) and $475.3 million in FY2022 (-13.4%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q3 2025.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 1.9%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2024 (growth of 35.1%); the low point was fiscal Q2 2022 (a decline of 19.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $628.6 million (Q4 2026), $631.3 million (Q3 2026) and $608.1 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn | 600.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 600.60 Mn |
| May 2, 2026 | 628.60 Mn |
| Jan 31, 2026 | 631.30 Mn |
| Nov 1, 2025 | 608.10 Mn |
| Aug 2, 2025 | 603.20 Mn |
| May 3, 2025 | 612.50 Mn |
| Feb 1, 2025 | 600.30 Mn |
| Nov 2, 2024 | 636.80 Mn |
| Jul 27, 2024 | 633.50 Mn |
| Apr 27, 2024 | 637.50 Mn |
| Jan 27, 2024 | 656.50 Mn |
| Oct 28, 2023 | 640.00 Mn |
| Jul 29, 2023 | 642.70 Mn |
| Apr 29, 2023 | 637.30 Mn |
| Jan 28, 2023 | 485.90 Mn |
| Oct 29, 2022 | 495.50 Mn |
| Jul 30, 2022 | 478.50 Mn |
| Apr 30, 2022 | 475.30 Mn |
| Jan 29, 2022 | 494.90 Mn |
| Oct 30, 2021 | 511.20 Mn |
API Access
Methode Electronics Total Liabilities 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=total-liabilities&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();