Methode Electronics (MEI) Long-Term Debt Repayments (2012 - 2026)
Methode Electronics (MEI) recorded Long-Term Debt Repayments of $100,000 in fiscal Q1 2027 (quarter ended Aug 1, 2026), unchanged from $100,000 a year earlier and unchanged from the prior quarter.
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Analysis
Methode Electronics (MEI) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a TTM basis, Methode Electronics' Long-Term Debt Repayments came in at $200,000 as of Aug 1, 2026, unchanged year-over-year; for FY2026 (ended May 2, 2026), it came in at $200,000, unchanged from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -16.7% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $200,000 in FY2025 (unchanged), $200,000 in FY2024 (-50.0%), $400,000 in FY2023 (-42.9%) and $700,000 in FY2022 (+40.0%).
- Quarterly Long-Term Debt Repayments has ranged from $100,000 in fiscal Q2 2022 to $200,000 in fiscal Q4 2022 over the past five years.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 100.0% in fiscal Q4 2022, against a decline of 50.0% in fiscal Q1 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 327.22 Bn | 298.92 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 193.52 Bn | 188.10 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 169.77 Bn | 137.87 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 147.58 Bn | 144.77 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 88.37 Bn | 81.11 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 85.40 Bn | 66.80 Bn | 2.68 Bn | - |
| 8 | Illinois Tool Works | 77.47 Bn | 74.03 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 76.98 Bn | 67.60 Bn | 1.23 Bn | - |
| 10 | Methode Electronics | 486.06 Mn | -21.94 Mn | 47.70 Mn | 100,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 100,000.00 |
| May 2, 2026 | 100,000.00 |
| Aug 2, 2025 | 100,000.00 |
| Feb 1, 2025 | 100,000.00 |
| Jul 27, 2024 | 100,000.00 |
| Jan 27, 2024 | 100,000.00 |
| Jul 29, 2023 | 100,000.00 |
| Apr 29, 2023 | 100,000.00 |
| Jan 28, 2023 | 100,000.00 |
| Oct 29, 2022 | 100,000.00 |
| Jul 30, 2022 | 100,000.00 |
| Apr 30, 2022 | 200,000.00 |
| Jan 29, 2022 | 200,000.00 |
| Oct 30, 2021 | 100,000.00 |
| Jul 31, 2021 | 200,000.00 |
| May 1, 2021 | 100,000.00 |
| Jan 30, 2021 | 200,000.00 |
| Oct 31, 2020 | 100,000.00 |
| Aug 1, 2020 | 100,000.00 |
| May 2, 2020 | 200,000.00 |
API Access
Methode Electronics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();