Martin Marietta Materials (MLM) Retained Earnings (2009 - 2026)
Martin Marietta Materials' Retained Earnings came in at $7.86 billion for Q2 2026, up 35.4% from $5.81 billion a year earlier and up 2.6% from the prior quarter.
Martin Marietta Materials (MLM) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Martin Marietta Materials' Retained Earnings was $6.4 billion, up 8.2% from FY2024.
- Retained Earnings has increased in each of the last ten years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $5.92 billion in FY2024 (+29.6%), $4.56 billion in FY2023 (+22.7%), $3.72 billion in FY2022 (+17.6%) and $3.16 billion in FY2021 (+21.3%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q2 2009.
- Year-over-year, Retained Earnings has increased for 39 consecutive quarters, with growth averaging 20.3% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 2.2% (Q1 2025) and 45.3% (Q1 2024) over the last five years.
- Business Quant data shows MLM's Retained Earnings at $7.66 billion (Q1 2026), $6.4 billion (Q4 2025) and $6.17 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 55.76 Bn | 42.27 Bn | 4.29 Bn | 25.74 Bn |
| 2 | Vulcan Materials | 31.85 Bn | 31.16 Bn | 625.50 Mn | 5.54 Bn |
| 3 | Martin Marietta Materials | 29.47 Bn | 28.97 Bn | 495.00 Mn | 7.86 Bn |
| 4 | Amrize | 20.91 Bn | 16.33 Bn | 993.00 Mn | 997.00 Mn |
| 5 | Cemex Sab De Cv | 13.79 Bn | 13.79 Bn | 1.62 Bn | - |
| 6 | Eagle Materials | 5.42 Bn | 4.43 Bn | 161.25 Mn | 1.49 Bn |
| 7 | Knife River | 3.03 Bn | 2.65 Bn | 162.77 Mn | 989.33 Mn |
| 8 | Titan America | 2.54 Bn | 2.02 Bn | 113.15 Mn | - |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.09 Bn | -45.49 Bn | - | 23.58 Bn |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 356.57 Mn | 221.13 Mn | 423.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.86 Bn |
| Mar 31, 2026 | 7.66 Bn |
| Dec 31, 2025 | 6.40 Bn |
| Sep 30, 2025 | 6.17 Bn |
| Jun 30, 2025 | 5.81 Bn |
| Mar 31, 2025 | 5.53 Bn |
| Dec 31, 2024 | 5.92 Bn |
| Sep 30, 2024 | 5.67 Bn |
| Jun 30, 2024 | 5.36 Bn |
| Mar 31, 2024 | 5.41 Bn |
| Dec 31, 2023 | 4.56 Bn |
| Sep 30, 2023 | 4.33 Bn |
| Jun 30, 2023 | 3.96 Bn |
| Mar 31, 2023 | 3.72 Bn |
| Dec 31, 2022 | 3.72 Bn |
| Sep 30, 2022 | 3.58 Bn |
| Jun 30, 2022 | 3.42 Bn |
| Mar 31, 2022 | 3.09 Bn |
| Dec 31, 2021 | 3.16 Bn |
| Sep 30, 2021 | 3.04 Bn |
Martin Marietta Materials Retained Earnings 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=retained-earnings&ticker=MLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();