Martin Marietta Materials (MLM) EBIT (2009 - 2026)
Martin Marietta Materials (MLM) posted EBIT of $372 million for Q2 2026, down 9.9% from $413 million a year earlier but up 129.6% from the prior quarter.
Martin Marietta Materials (MLM) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Martin Marietta Materials was $1.38 billion, up 3.2% year-over-year; for FY2025, it was $1.44 billion, down 42.0% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior years, Martin Marietta Materials' EBIT was $2.48 billion in FY2024 (+86.0%), $1.33 billion in FY2023 (+10.4%), $1.21 billion in FY2022 (+23.9%) and $973.8 million in FY2021 (-3.1%).
- Quarterly EBIT has run from a low of $59.9 million in Q1 2022 to a high of $1.42 billion in Q1 2024 over five years.
- On a year-over-year basis, EBIT increased in four of the last eight quarters, with growth averaging 13.8%.
- The strongest year-over-year quarter for EBIT in the past five years was Q1 2024, with growth of 625.0%; the weakest was Q1 2025, with a decline of 87.4%.
- According to Business Quant data, EBIT for the three prior quarters was $162 million (Q1 2026), $341 million (Q4 2025) and $505 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 55.76 Bn | 42.27 Bn | 4.29 Bn | 2.08 Bn |
| 2 | Vulcan Materials | 31.85 Bn | 31.16 Bn | 625.50 Mn | 455.50 Mn |
| 3 | Martin Marietta Materials | 29.47 Bn | 28.97 Bn | 495.00 Mn | 372.00 Mn |
| 4 | Amrize | 20.91 Bn | 16.33 Bn | 993.00 Mn | 711.00 Mn |
| 5 | Cemex Sab De Cv | 13.79 Bn | 13.79 Bn | 1.62 Bn | 631.03 Mn |
| 6 | Eagle Materials | 5.42 Bn | 4.43 Bn | 161.25 Mn | 141.04 Mn |
| 7 | Knife River | 3.03 Bn | 2.65 Bn | 162.77 Mn | 81.11 Mn |
| 8 | Titan America | 2.54 Bn | 2.02 Bn | 113.15 Mn | 62.73 Mn |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.09 Bn | -45.49 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 356.57 Mn | 221.13 Mn | 136.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 372.00 Mn |
| Mar 31, 2026 | 162.00 Mn |
| Dec 31, 2025 | 341.00 Mn |
| Sep 30, 2025 | 505.00 Mn |
| Jun 30, 2025 | 413.00 Mn |
| Mar 31, 2025 | 179.00 Mn |
| Dec 31, 2024 | 339.00 Mn |
| Sep 30, 2024 | 406.00 Mn |
| Jun 30, 2024 | 398.00 Mn |
| Mar 31, 2024 | 1.42 Bn |
| Dec 31, 2023 | 107.00 Mn |
| Sep 30, 2023 | 567.00 Mn |
| Jun 30, 2023 | 463.00 Mn |
| Mar 31, 2023 | 196.00 Mn |
| Dec 31, 2022 | 262.60 Mn |
| Sep 30, 2022 | 405.90 Mn |
| Jun 30, 2022 | 478.60 Mn |
| Mar 31, 2022 | 59.90 Mn |
| Dec 31, 2021 | 210.10 Mn |
| Sep 30, 2021 | 356.90 Mn |
Martin Marietta Materials EBIT 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=ebit&ticker=MLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();