Martin Marietta Materials (MLM) Return on Sales [ROS] (2009 - 2026)
Martin Marietta Materials' Return on Sales [ROS] was 19.11% in Q2 2026, down 6.56 percentage points from 25.67% a year earlier but up 7.21 percentage points from the prior quarter.
Martin Marietta Materials (MLM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Martin Marietta Materials' Return on Sales [ROS] was 20.63% through Jun 30, 2026, down 2.32 percentage points year-over-year; for FY2025, it was 23.37%, down 20.42 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +2.11 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 43.78% in FY2024 (+21.00 pp), 22.78% in FY2023 (+3.19 pp), 19.59% in FY2022 (+1.60 pp) and 17.99% in FY2021 (-3.27 pp).
- Quarterly Return on Sales [ROS] has moved between 4.87% (Q1 2022) and 134.56% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -15.47 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 120.09 percentage points); the worst was Q1 2025 (a drop of 119.16 percentage points).
- Per Business Quant data, MLM's Return on Sales [ROS] in the three quarters before Q2 2026 was 11.89% (Q1 2026), 22.23% (Q4 2025) and 27.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 54.42 Bn | 40.92 Bn | 4.29 Bn | 19.29% |
| 2 | Vulcan Materials | 31.58 Bn | 30.89 Bn | 625.50 Mn | 21.13% |
| 3 | Martin Marietta Materials | 28.78 Bn | 28.27 Bn | 495.00 Mn | 19.11% |
| 4 | Amrize | 20.48 Bn | 15.90 Bn | 993.00 Mn | 20.35% |
| 5 | Cemex Sab De Cv | 13.64 Bn | 13.64 Bn | 1.62 Bn | 13.74% |
| 6 | Eagle Materials | 5.33 Bn | 4.35 Bn | 161.25 Mn | 21.67% |
| 7 | Knife River | 2.87 Bn | 2.49 Bn | 162.77 Mn | 8.64% |
| 8 | Titan America | 2.52 Bn | 2.00 Bn | 113.15 Mn | 13.33% |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.06 Bn | -45.52 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 350.63 Mn | 221.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.11% |
| Mar 31, 2026 | 11.89% |
| Dec 31, 2025 | 22.23% |
| Sep 30, 2025 | 27.36% |
| Jun 30, 2025 | 25.67% |
| Mar 31, 2025 | 15.40% |
| Dec 31, 2024 | 24.01% |
| Sep 30, 2024 | 24.73% |
| Jun 30, 2024 | 25.64% |
| Mar 31, 2024 | 134.56% |
| Dec 31, 2023 | 15.69% |
| Sep 30, 2023 | 28.44% |
| Jun 30, 2023 | 25.43% |
| Mar 31, 2023 | 14.48% |
| Dec 31, 2022 | 17.78% |
| Sep 30, 2022 | 22.40% |
| Jun 30, 2022 | 29.15% |
| Mar 31, 2022 | 4.87% |
| Dec 31, 2021 | 14.04% |
| Sep 30, 2021 | 22.92% |
Martin Marietta Materials Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();