Methode Electronics (MEI) Inventory (2011 - 2026)
Methode Electronics (MEI) reported Inventory of $184.6 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 3.3% from $190.9 million a year earlier but up 3.3% from the prior quarter.
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Analysis
Methode Electronics (MEI) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics posted Inventory of $178.7 million, down 7.9% from FY2025.
- Inventory has a five-year compound annual growth rate of 7.5% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $194.1 million in FY2025 (+4.2%), $186.2 million in FY2024 (+16.6%), $159.7 million in FY2023 (+0.8%) and $158.5 million in FY2022 (+27.6%).
- Five-year quarterly Inventory spans a low of $149 million in fiscal Q2 2022 and a high of $228.2 million in fiscal Q2 2025.
- Year over year, Inventory has now declined in each of the last five quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q3 2022 (growth of 34.7%); the low point was fiscal Q2 2026 (a decline of 16.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $178.7 million (Q4 2026), $209.8 million (Q3 2026) and $190.2 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn | 184.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 184.60 Mn |
| May 2, 2026 | 178.70 Mn |
| Jan 31, 2026 | 209.80 Mn |
| Nov 1, 2025 | 190.20 Mn |
| Aug 2, 2025 | 190.90 Mn |
| May 3, 2025 | 194.10 Mn |
| Feb 1, 2025 | 218.80 Mn |
| Nov 2, 2024 | 228.20 Mn |
| Jul 27, 2024 | 219.90 Mn |
| Apr 27, 2024 | 186.20 Mn |
| Jan 27, 2024 | 204.00 Mn |
| Oct 28, 2023 | 183.90 Mn |
| Jul 29, 2023 | 175.60 Mn |
| Apr 29, 2023 | 159.70 Mn |
| Jan 28, 2023 | 175.40 Mn |
| Oct 29, 2022 | 172.50 Mn |
| Jul 30, 2022 | 173.90 Mn |
| Apr 30, 2022 | 158.50 Mn |
| Jan 29, 2022 | 167.00 Mn |
| Oct 30, 2021 | 149.00 Mn |
API Access
Methode Electronics Inventory 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=inventory&ticker=MEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();