Methode Electronics (MEI) Short-Term Debt repayments (2014 - 2026)
Methode Electronics (MEI) recorded Short-Term Debt repayments of $20.1 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), down 74.3% from $78.1 million a year earlier but up 54.6% from the prior quarter.
Methode Electronics (MEI) Short-Term Debt repayments (2014 - 2026) Analysis & Trends
On a TTM basis, Methode Electronics' Short-Term Debt repayments came in at $33.2 million as of Aug 1, 2026, down 84.0% year-over-year; for FY2026 (ended May 2, 2026), it came in at $91.2 million, down 45.9% from FY2025.
- Annual Short-Term Debt repayments has declined for three straight fiscal years, with a five-year compound annual growth rate of -4.8% (FY2021 to FY2026).
- Across earlier fiscal years, Short-Term Debt repayments came in at $168.6 million in FY2025 (-18.6%), $207.2 million in FY2024 (-23.5%), $271 million in FY2023 (+828.1%) and $29.2 million in FY2022 (-75.0%).
- Quarterly Short-Term Debt repayments has ranged from $100,000 in fiscal Q3 2026 to $200.1 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments has declined for three consecutive quarters, with an average decline of 41.7% over the last five quarters.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 287.1% in fiscal Q1 2025, against a decline of 99.3% in fiscal Q3 2026 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | - |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | - |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | - |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | - |
| 10 | Methode Electronics | 444.85 Mn | -63.15 Mn | 47.70 Mn | 20.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 20.10 Mn |
| May 2, 2026 | 13.00 Mn |
| Jan 31, 2026 | 100,000.00 |
| Aug 2, 2025 | 78.10 Mn |
| May 3, 2025 | 114.40 Mn |
| Feb 1, 2025 | 15.10 Mn |
| Jul 27, 2024 | 39.10 Mn |
| Jan 27, 2024 | 27.90 Mn |
| Oct 28, 2023 | 169.20 Mn |
| Jul 29, 2023 | 10.10 Mn |
| Apr 29, 2023 | 64.40 Mn |
| Jan 28, 2023 | 200.10 Mn |
| Oct 29, 2022 | 3.20 Mn |
| Jul 30, 2022 | 3.30 Mn |
| Apr 30, 2022 | 5.00 Mn |
| Jan 29, 2022 | 7.40 Mn |
| Oct 30, 2021 | 12.10 Mn |
| Jul 31, 2021 | 4.70 Mn |
| May 1, 2021 | 4.80 Mn |
| Jan 30, 2021 | 104.30 Mn |
Methode Electronics Short-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=short-term-debt-repayments&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();