Myers Industries (MYE) Shares Outstanding (Diluted) (2009 - 2026)
Myers Industries (MYE) posted Weighted Average Shares Outstanding (Diluted) of 37.79 million for Q3 2026, up 0.6% from 37.58 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Myers Industries (MYE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Myers Industries' Weighted Average Shares Outstanding (Diluted) came in at 37.56 million, up 0.4% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for nine consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Myers Industries' Weighted Average Shares Outstanding (Diluted) was 37.4 million in FY2024 (+0.8%), 37.1 million in FY2023 (+0.8%), 36.79 million in FY2022 (+1.2%) and 36.36 million in FY2021 (+1.2%).
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last 39 quarters, with growth averaging 0.7% over the last eight quarters.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 37.79 million (Q2 2026), 37.71 million (Q1 2026) and 37.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 562.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Myers Industries | 1.05 Bn | 866.41 Mn | 46.78 Mn | 37.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.93 Mn |
| Jun 30, 2026 | 37.79 Mn |
| Mar 31, 2026 | 37.71 Mn |
| Dec 31, 2025 | 37.56 Mn |
| Sep 30, 2025 | 37.58 Mn |
| Jun 30, 2025 | 37.41 Mn |
| Mar 31, 2025 | 37.41 Mn |
| Dec 31, 2024 | 37.40 Mn |
| Sep 30, 2024 | 37.22 Mn |
| Jun 30, 2024 | 37.31 Mn |
| Mar 31, 2024 | 37.12 Mn |
| Dec 31, 2023 | 37.10 Mn |
| Sep 30, 2023 | 36.98 Mn |
| Jun 30, 2023 | 36.89 Mn |
| Mar 31, 2023 | 36.82 Mn |
| Dec 31, 2022 | 36.79 Mn |
| Sep 30, 2022 | 36.72 Mn |
| Jun 30, 2022 | 36.62 Mn |
| Mar 31, 2022 | 36.51 Mn |
| Dec 31, 2021 | 36.36 Mn |
API Access
Myers Industries 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=MYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MYE", "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=MYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();