Martin Marietta Materials (MLM) Shares Outstanding (2009 - 2026)
Martin Marietta Materials' Weighted Average Shares Outstanding came in at 65 million for Q3 2026, up 7.8% from 60.3 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Martin Marietta Materials (MLM) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Martin Marietta Materials' Weighted Average Shares Outstanding was 60.5 million, down 1.5% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last four years, with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 61.4 million in FY2024 (-0.8%), 61.9 million in FY2023 (-0.6%), 62.3 million in FY2022 (-0.2%) and 62.4 million in FY2021 (+0.2%).
- The Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding since Q4 2015.
- Year-over-year, Weighted Average Shares Outstanding increased in 1 of the last eight quarters, with an average decline of 0.1%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q3 2026 (growth of 7.8%), and the weakest in Q2 2025 (a decline of 2.0%).
- Business Quant data shows MLM's Weighted Average Shares Outstanding at 60.1 million (Q2 2026), 60.3 million (Q1 2026) and 60.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 64.80 Bn | 49.33 Bn | 4.42 Bn | 665.20 Mn |
| 2 | Vulcan Materials | 36.96 Bn | 36.33 Bn | 665.60 Mn | 129.10 Mn |
| 3 | Martin Marietta Materials | 34.06 Bn | 33.47 Bn | 651.00 Mn | 65.00 Mn |
| 4 | Amrize | 22.81 Bn | 18.76 Bn | 1.08 Bn | 544.60 Mn |
| 5 | Cemex Sab De Cv | 15.87 Bn | 12.07 Bn | - | 1.45 Bn |
| 6 | Eagle Materials | 5.72 Bn | 4.53 Bn | 174.73 Mn | 30.61 Mn |
| 7 | Knife River | 3.28 Bn | 2.80 Bn | 287.60 Mn | 56.76 Mn |
| 8 | Titan America | 2.11 Bn | 2.11 Bn | - | 183.35 Mn |
| 9 | Cementos Pacasmayo Saa | 1.10 Bn | 882.37 Mn | - | 85.62 Mn |
| 10 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.03 Bn | 1.03 Bn | - | 116.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.00 Mn |
| Jun 30, 2026 | 60.10 Mn |
| Mar 31, 2026 | 60.30 Mn |
| Dec 31, 2025 | 60.50 Mn |
| Sep 30, 2025 | 60.30 Mn |
| Jun 30, 2025 | 60.30 Mn |
| Mar 31, 2025 | 60.90 Mn |
| Dec 31, 2024 | 61.40 Mn |
| Sep 30, 2024 | 61.10 Mn |
| Jun 30, 2024 | 61.50 Mn |
| Mar 31, 2024 | 61.80 Mn |
| Dec 31, 2023 | 61.90 Mn |
| Sep 30, 2023 | 61.80 Mn |
| Jun 30, 2023 | 61.90 Mn |
| Mar 31, 2023 | 62.10 Mn |
| Dec 31, 2022 | 62.30 Mn |
| Sep 30, 2022 | 62.30 Mn |
| Jun 30, 2022 | 62.40 Mn |
| Mar 31, 2022 | 62.40 Mn |
| Dec 31, 2021 | 62.40 Mn |
API Access
Martin Marietta Materials 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=MLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MLM", "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=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();