Methode Electronics (MEI) Non-Current Assets (2011 - 2026)
Methode Electronics (MEI) posted Non-Current Assets of $679.3 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 8.5% from $742.1 million a year earlier and down 3.8% from the prior quarter.
Methode Electronics (MEI) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics' Non-Current Assets came in at $706.1 million, down 5.3% from FY2025.
- Annual Non-Current Assets has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- In prior fiscal years, Methode Electronics' Non-Current Assets was $745.9 million in FY2025 (-2.6%), $765.8 million in FY2024 (-16.3%), $914.7 million in FY2023 (+20.3%) and $760.1 million in FY2022 (-4.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Non-Current Assets since fiscal Q1 2019.
- On a year-over-year basis, Non-Current Assets has declined in each of the last ten quarters, with an average decline of 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q1 2024, with growth of 22.1%; the weakest was fiscal Q1 2025, with a decline of 16.4%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $706.1 million (Q4 2026), $721 million (Q3 2026) and $732.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Methode Electronics | 501.17 Mn | -6.83 Mn | 47.70 Mn | 679.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 679.30 Mn |
| May 2, 2026 | 706.10 Mn |
| Jan 31, 2026 | 721.00 Mn |
| Nov 1, 2025 | 732.10 Mn |
| Aug 2, 2025 | 742.10 Mn |
| May 3, 2025 | 745.90 Mn |
| Feb 1, 2025 | 732.40 Mn |
| Nov 2, 2024 | 762.20 Mn |
| Jul 27, 2024 | 766.10 Mn |
| Apr 27, 2024 | 765.80 Mn |
| Jan 27, 2024 | 861.70 Mn |
| Oct 28, 2023 | 848.40 Mn |
| Jul 29, 2023 | 916.60 Mn |
| Apr 29, 2023 | 914.70 Mn |
| Jan 28, 2023 | 757.50 Mn |
| Oct 29, 2022 | 735.90 Mn |
| Jul 30, 2022 | 750.80 Mn |
| Apr 30, 2022 | 760.10 Mn |
| Jan 29, 2022 | 770.90 Mn |
| Oct 30, 2021 | 787.60 Mn |
Methode Electronics Non-Current Assets 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=non-current-assets&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();