Martin Marietta Materials (MLM) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Martin Marietta Materials (MLM) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 56.53 Bn | 43.03 Bn | 4.29 Bn | 686.00 Mn |
| 2 | Vulcan Materials | 33.86 Bn | 33.17 Bn | 625.50 Mn | 497.10 Mn |
| 3 | Martin Marietta Materials | 30.45 Bn | 29.94 Bn | 495.00 Mn | -736.00 Mn |
| 4 | Amrize | 21.69 Bn | 17.10 Bn | 993.00 Mn | - |
| 5 | Cemex Sab De Cv | 14.77 Bn | 14.77 Bn | 1.62 Bn | - |
| 6 | Eagle Materials | 5.38 Bn | 4.40 Bn | 161.25 Mn | - |
| 7 | Knife River | 3.02 Bn | 2.63 Bn | 162.77 Mn | -10.18 Mn |
| 8 | Titan America | 2.50 Bn | 1.99 Bn | 113.15 Mn | 6,000.00 |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.14 Bn | 1.14 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.08 Bn | 866.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -736.00 Mn |
| Mar 31, 2026 | 472.00 Mn |
| Dec 31, 2025 | -99.00 Mn |
| Sep 30, 2025 | -566.00 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Dec 31, 2024 | -1.07 Bn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | -2.04 Bn |
| Mar 31, 2024 | 1.62 Bn |
| Dec 31, 2023 | 329.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 73.00 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 31, 2022 | 7.90 Mn |
| Sep 30, 2022 | 34.70 Mn |
| Jun 30, 2022 | 635.60 Mn |
| Mar 31, 2022 | 19.80 Mn |
| Dec 31, 2021 | -2.31 Bn |
| Sep 30, 2021 | -130.20 Mn |
API Access
Martin Marietta Materials Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=MLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();