Martin Marietta Materials (MLM) Enterprise Value (2009 - 2026)
Martin Marietta Materials (MLM) reported Enterprise Value of $34.52 billion for Q2 2026, up 5.0% from $32.88 billion a year earlier but down 1.6% from the prior quarter.
Martin Marietta Materials (MLM) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Martin Marietta Materials' Enterprise Value came in at $34.12 billion, up 6.4% year-over-year; for FY2025, it was $37.49 billion, up 21.3% from FY2024.
- Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- By year, Enterprise Value came in at $30.9 billion in FY2024 (+4.5%), $29.57 billion in FY2023 (+43.3%), $20.63 billion in FY2022 (-24.2%) and $27.23 billion in FY2021 (+55.7%).
- Five-year quarterly Enterprise Value spans a low of $17.9 billion in Q2 2022 and a high of $37.96 billion in Q3 2025.
- Year over year, Enterprise Value has now increased in each of the last four quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q1 2024 (growth of 61.6%); the low point was Q4 2022 (a decline of 24.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.08 billion (Q1 2026), $37.49 billion (Q4 2025) and $37.96 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Crh Public | 56.29 Bn | 42.80 Bn | 4.29 Bn |
| 2 | Vulcan Materials | 31.41 Bn | 30.73 Bn | 625.50 Mn |
| 3 | Martin Marietta Materials | 28.77 Bn | 28.26 Bn | 495.00 Mn |
| 4 | Amrize | 20.73 Bn | 16.15 Bn | 993.00 Mn |
| 5 | Cemex Sab De Cv | 14.02 Bn | 14.02 Bn | 1.62 Bn |
| 6 | Eagle Materials | 5.34 Bn | 4.36 Bn | 161.25 Mn |
| 7 | Knife River | 2.99 Bn | 2.61 Bn | 162.77 Mn |
| 8 | Titan America | 2.53 Bn | 2.02 Bn | 113.15 Mn |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.07 Bn | -45.51 Bn | - |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 359.11 Mn | 221.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.52 Bn |
| Mar 31, 2026 | 35.08 Bn |
| Dec 31, 2025 | 37.49 Bn |
| Sep 30, 2025 | 37.96 Bn |
| Jun 30, 2025 | 32.88 Bn |
| Mar 31, 2025 | 28.72 Bn |
| Dec 31, 2024 | 30.90 Bn |
| Sep 30, 2024 | 32.85 Bn |
| Jun 30, 2024 | 33.01 Bn |
| Mar 31, 2024 | 35.20 Bn |
| Dec 31, 2023 | 29.57 Bn |
| Sep 30, 2023 | 24.73 Bn |
| Jun 30, 2023 | 28.11 Bn |
| Mar 31, 2023 | 21.79 Bn |
| Dec 31, 2022 | 20.63 Bn |
| Sep 30, 2022 | 19.87 Bn |
| Jun 30, 2022 | 17.90 Bn |
| Mar 31, 2022 | 23.83 Bn |
| Dec 31, 2021 | 27.23 Bn |
| Sep 30, 2021 | 18.94 Bn |
Martin Marietta Materials Enterprise Value 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=enterprise-value&ticker=MLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();