Methode Electronics (MEI) Receivables (2011 - 2026)
Methode Electronics (MEI) recorded Receivables of $256.4 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 18.9% from $215.6 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Methode Electronics (MEI) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics reported Receivables of $257.3 million, up 6.8% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $241 million in FY2025 (-8.2%), $262.6 million in FY2024 (-16.4%), $314.3 million in FY2023 (+15.0%) and $273.3 million in FY2022 (-3.3%).
- Quarterly Receivables has ranged from $215.6 million in fiscal Q1 2026 to $314.3 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Receivables rose in 1 of the last six quarters, with an average decline of 6.0%.
- Peak year-over-year performance for Receivables in the last five years was growth of 397.8% in fiscal Q4 2022, against a decline of 17.4% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $257.3 million (Q4 2026), $215.6 million (Q3 2026) and $229.6 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn | 256.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 256.40 Mn |
| May 2, 2026 | 257.30 Mn |
| Jan 31, 2026 | 215.60 Mn |
| Nov 1, 2025 | 229.60 Mn |
| Aug 2, 2025 | 215.60 Mn |
| Feb 1, 2025 | 220.00 Mn |
| Nov 2, 2024 | 255.90 Mn |
| Jul 27, 2024 | 248.60 Mn |
| Jan 27, 2024 | 265.30 Mn |
| Oct 28, 2023 | 292.30 Mn |
| Jul 29, 2023 | 300.80 Mn |
| Apr 29, 2023 | 314.30 Mn |
| Jan 28, 2023 | 295.50 Mn |
| Oct 29, 2022 | 312.80 Mn |
| Jul 30, 2022 | 282.00 Mn |
| Apr 30, 2022 | 273.30 Mn |
| Jan 29, 2022 | 285.20 Mn |
| Oct 30, 2021 | 281.00 Mn |
| Jul 31, 2021 | 276.70 Mn |
| May 1, 2021 | 54.90 Mn |
API Access
Methode Electronics Receivables 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=receivables&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();