Martin Marietta Materials (MLM) Operating Leases (2019 - 2026)
Martin Marietta Materials (MLM) posted Operating Leases of $324 million for Q2 2026, down 2.1% from $331 million a year earlier and down 1.5% from the prior quarter.
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Analysis
Martin Marietta Materials (MLM) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Martin Marietta Materials' Operating Leases came in at $320 million, down 2.1% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Martin Marietta Materials' Operating Leases was $327 million in FY2024 (unchanged), $327 million in FY2023 (-2.6%), $335.9 million in FY2022 (-11.5%) and $379.4 million in FY2021 (-7.6%).
- Quarterly Operating Leases has run from a low of $320 million in Q3 2025 to a high of $379.4 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last six quarters, with an average decline of 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2024, with growth of 2.1%; the weakest was Q4 2022, with a decline of 11.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $329 million (Q1 2026), $320 million (Q4 2025) and $320 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324.00 Mn |
| Mar 31, 2026 | 329.00 Mn |
| Dec 31, 2025 | 320.00 Mn |
| Sep 30, 2025 | 320.00 Mn |
| Jun 30, 2025 | 331.00 Mn |
| Mar 31, 2025 | 334.00 Mn |
| Dec 31, 2024 | 327.00 Mn |
| Sep 30, 2024 | 337.00 Mn |
| Jun 30, 2024 | 341.00 Mn |
| Mar 31, 2024 | 344.00 Mn |
| Dec 31, 2023 | 327.00 Mn |
| Sep 30, 2023 | 330.00 Mn |
| Jun 30, 2023 | 337.00 Mn |
| Mar 31, 2023 | 337.30 Mn |
| Dec 31, 2022 | 335.90 Mn |
| Sep 30, 2022 | 348.40 Mn |
| Jun 30, 2022 | 356.30 Mn |
| Mar 31, 2022 | 362.10 Mn |
| Dec 31, 2021 | 379.40 Mn |
| Sep 30, 2021 | 375.90 Mn |
API Access
Martin Marietta Materials Operating Leases 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=operating-leases&ticker=MLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();