Methode Electronics (MEI) Intangibles (2011 - 2026)
Methode Electronics (MEI) reported Intangibles of $211.4 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 10.0% from $234.9 million a year earlier and down 3.4% from the prior quarter.
Methode Electronics (MEI) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Methode Electronics posted Intangibles of $218.9 million, down 8.2% from FY2025.
- Intangibles has a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $238.4 million in FY2025 (-7.1%), $256.7 million in FY2024 (unchanged), $256.7 million in FY2023 (+23.6%) and $207.7 million in FY2022 (-9.5%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Intangibles since fiscal Q3 2023.
- Year over year, Intangibles has now declined in each of the last eight quarters, with an average decline of 7.7% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q3 2024 (growth of 36.7%); the low point was fiscal Q3 2025 (a decline of 10.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $218.9 million (Q4 2026), $225.6 million (Q3 2026) and $228.6 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Methode Electronics | 491.19 Mn | -16.81 Mn | 47.70 Mn | 211.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 211.40 Mn |
| May 2, 2026 | 218.90 Mn |
| Jan 31, 2026 | 225.60 Mn |
| Nov 1, 2025 | 228.60 Mn |
| Aug 2, 2025 | 234.90 Mn |
| May 3, 2025 | 238.40 Mn |
| Feb 1, 2025 | 235.70 Mn |
| Nov 2, 2024 | 246.00 Mn |
| Jul 27, 2024 | 252.20 Mn |
| Apr 27, 2024 | 256.70 Mn |
| Jan 27, 2024 | 264.30 Mn |
| Oct 28, 2023 | 264.70 Mn |
| Jul 29, 2023 | 251.30 Mn |
| Apr 29, 2023 | 256.70 Mn |
| Jan 28, 2023 | 193.30 Mn |
| Oct 29, 2022 | 196.70 Mn |
| Jul 30, 2022 | 202.60 Mn |
| Apr 30, 2022 | 207.70 Mn |
| Jan 29, 2022 | 213.30 Mn |
| Oct 30, 2021 | 219.10 Mn |
Methode Electronics Intangibles 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=intangibles&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();