Methode Electronics (MEI) Shares Outstanding (Diluted) (2010 - 2026)
Methode Electronics' Shares Outstanding (Diluted) came in at 35.67 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 0.9% from 35.37 million a year earlier and up 0.4% from the prior quarter.
Methode Electronics (MEI) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), Methode Electronics' Shares Outstanding (Diluted) was 35.52 million, up 0.5% from FY2025.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 35.33 million in FY2025 (-0.4%), 35.47 million in FY2024 (-3.5%), 36.78 million in FY2023 (-2.8%) and 37.82 million in FY2022 (-1.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Shares Outstanding (Diluted) since fiscal Q1 2024.
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q3 2026 (growth of 1.2%), and the weakest in fiscal Q4 2024 (a decline of 3.5%).
- Business Quant data shows MEI's Shares Outstanding (Diluted) at 35.52 million (Q4 2026), 35.61 million (Q3 2026) and 35.47 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Methode Electronics | 507.94 Mn | -57,994.75 | 47.70 Mn | 35.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 35.67 Mn |
| May 2, 2026 | 35.52 Mn |
| Jan 31, 2026 | 35.61 Mn |
| Nov 1, 2025 | 35.47 Mn |
| Aug 2, 2025 | 35.37 Mn |
| May 3, 2025 | 35.33 Mn |
| Feb 1, 2025 | 35.18 Mn |
| Nov 2, 2024 | 35.49 Mn |
| Jul 27, 2024 | 35.42 Mn |
| Apr 27, 2024 | 35.47 Mn |
| Jan 27, 2024 | 35.33 Mn |
| Oct 28, 2023 | 35.67 Mn |
| Jul 29, 2023 | 36.28 Mn |
| Apr 29, 2023 | 36.78 Mn |
| Jan 28, 2023 | 36.58 Mn |
| Oct 29, 2022 | 36.84 Mn |
| Jul 30, 2022 | 37.22 Mn |
| Apr 30, 2022 | 37.82 Mn |
| Jan 29, 2022 | 37.48 Mn |
| Oct 30, 2021 | 38.08 Mn |
Methode Electronics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();