Miller Industries (MLR) Shares Outstanding (2010 - 2026)
Miller Industries (MLR) reported Weighted Average Shares Outstanding of 11.33 million for Q3 2026, down 1.0% from 11.45 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Miller Industries (MLR) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Miller Industries posted Weighted Average Shares Outstanding of 11.45 million, unchanged from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 11.45 million in FY2024 (+0.1%), 11.44 million in FY2023 (+0.2%), 11.42 million in FY2022 (+0.1%) and 11.41 million in FY2021 (+0.1%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding since Q4 2015.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q2 2023 (growth of 0.4%); the low point was Q3 2026 (a decline of 1.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 11.38 million (Q2 2026), 11.39 million (Q1 2026) and 11.45 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 2.46 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 558.80 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Miller Industries | 523.39 Mn | 309.65 Mn | 29.78 Mn | 11.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.33 Mn |
| Jun 30, 2026 | 11.38 Mn |
| Mar 31, 2026 | 11.39 Mn |
| Dec 31, 2025 | 11.45 Mn |
| Sep 30, 2025 | 11.45 Mn |
| Jun 30, 2025 | 11.46 Mn |
| Mar 31, 2025 | 11.45 Mn |
| Dec 31, 2024 | 11.45 Mn |
| Sep 30, 2024 | 11.45 Mn |
| Jun 30, 2024 | 11.46 Mn |
| Mar 31, 2024 | 11.45 Mn |
| Dec 31, 2023 | 11.44 Mn |
| Sep 30, 2023 | 11.45 Mn |
| Jun 30, 2023 | 11.47 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 |
API Access
Miller Industries Shares Outstanding 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&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();