Martin Marietta Materials (MLM) Inventory (2009 - 2026)
Martin Marietta Materials' Inventory was $1.17 billion in Q2 2026, up 1.2% from $1.16 billion a year earlier but down 3.6% from the prior quarter.
Martin Marietta Materials (MLM) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Martin Marietta Materials came in at $1.08 billion, up 5.9% from FY2024.
- Inventory has now increased for ten consecutive years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier years, Inventory was $1.02 billion in FY2024 (+2.9%), $989 million in FY2023 (+13.2%), $873.7 million in FY2022 (+16.1%) and $752.6 million in FY2021 (+6.1%).
- Quarterly Inventory has moved between $717.5 million (Q3 2021) and $1.21 billion (Q1 2026) over five years.
- Compared with a year earlier, Inventory has increased for three straight quarters, with growth averaging 3.5% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q1 2023 (growth of 21.3%); the worst was Q3 2025 (a decline of 5.1%).
- Per Business Quant data, MLM's Inventory in the three quarters before Q2 2026 was $1.21 billion (Q1 2026), $1.08 billion (Q4 2025) and $1.03 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 55.76 Bn | 42.27 Bn | 4.29 Bn | 5.10 Bn |
| 2 | Vulcan Materials | 31.85 Bn | 31.16 Bn | 625.50 Mn | 688.70 Mn |
| 3 | Martin Marietta Materials | 29.47 Bn | 28.97 Bn | 495.00 Mn | 1.17 Bn |
| 4 | Amrize | 20.91 Bn | 16.33 Bn | 993.00 Mn | 1.55 Bn |
| 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 | 379.57 Mn |
| 7 | Knife River | 3.03 Bn | 2.65 Bn | 162.77 Mn | 507.33 Mn |
| 8 | Titan America | 2.54 Bn | 2.02 Bn | 113.15 Mn | 231.93 Mn |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.09 Bn | -45.49 Bn | - | 81.98 Bn |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 356.57 Mn | 221.13 Mn | 651.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.08 Bn |
| Sep 30, 2025 | 1.03 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 1.12 Bn |
| Dec 31, 2023 | 989.00 Mn |
| Sep 30, 2023 | 993.10 Mn |
| Jun 30, 2023 | 954.70 Mn |
| Mar 31, 2023 | 948.70 Mn |
| Dec 31, 2022 | 873.70 Mn |
| Sep 30, 2022 | 823.40 Mn |
| Jun 30, 2022 | 835.20 Mn |
| Mar 31, 2022 | 782.40 Mn |
| Dec 31, 2021 | 752.60 Mn |
| Sep 30, 2021 | 717.50 Mn |
Martin Marietta Materials Inventory 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=inventory&ticker=MLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();