Miller Industries (MLR) Shares Outstanding (Diluted) (2010 - 2026)
Miller Industries (MLR) reported Shares Outstanding (Diluted) of 11.52 million for Q2 2026, down 0.7% from 11.6 million a year earlier and down 0.1% from the prior quarter.
Miller Industries (MLR) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Miller Industries posted Shares Outstanding (Diluted) of 11.62 million, up 0.1% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 11.6 million in FY2024 (+0.8%), 11.51 million in FY2023 (+0.8%), 11.42 million in FY2022 (+0.1%) and 11.41 million in FY2021 (+0.1%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q4 2023.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 0.1%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2024 (growth of 1.1%); the low point was Q1 2026 (a decline of 0.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 11.53 million (Q1 2026), 11.62 million (Q4 2025) and 11.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 11.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.52 Mn |
| Mar 31, 2026 | 11.53 Mn |
| Dec 31, 2025 | 11.62 Mn |
| Sep 30, 2025 | 11.60 Mn |
| Jun 30, 2025 | 11.60 Mn |
| Mar 31, 2025 | 11.61 Mn |
| Dec 31, 2024 | 11.60 Mn |
| Sep 30, 2024 | 11.60 Mn |
| Jun 30, 2024 | 11.55 Mn |
| Mar 31, 2024 | 11.56 Mn |
| Dec 31, 2023 | 11.51 Mn |
| Sep 30, 2023 | 11.52 Mn |
| Jun 30, 2023 | 11.53 Mn |
| Mar 31, 2023 | 11.43 Mn |
| Dec 31, 2022 | 11.42 Mn |
| Sep 30, 2022 | 11.42 Mn |
| Jun 30, 2022 | 11.42 Mn |
| Mar 31, 2022 | 11.42 Mn |
| Dec 31, 2021 | 11.41 Mn |
| Sep 30, 2021 | 11.41 Mn |
Miller 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=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MLR", "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=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();