Martin Marietta Materials (MLM) Inventory (2009 - 2026)
Martin Marietta Materials' Inventory was $1.24 billion in Q3 2026, up 20.2% from $1.03 billion a year earlier and up 6.3% from the prior quarter.
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Analysis
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%).
- The Q3 2026 figure marks the highest quarterly Inventory in data going back to Q2 2009.
- Compared with a year earlier, Inventory has increased for four straight quarters, with growth averaging 4.8% 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 Q3 2026 was $1.17 billion (Q2 2026), $1.21 billion (Q1 2026) and $1.08 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 64.41 Bn | 49.96 Bn | 4.42 Bn | 5.10 Bn |
| 2 | Martin Marietta Materials | 37.56 Bn | 35.72 Bn | 651.00 Mn | 1.24 Bn |
| 3 | Amrize | 22.53 Bn | 18.47 Bn | 1.08 Bn | 1.57 Bn |
| 4 | Cemex Sab De Cv | 15.63 Bn | 15.63 Bn | 1.63 Bn | - |
| 5 | Knife River | 3.32 Bn | 2.84 Bn | 287.60 Mn | 463.65 Mn |
| 6 | Titan America | 2.15 Bn | 1.58 Bn | 103.50 Mn | 247.83 Mn |
| 7 | Cementos Pacasmayo Saa | 1.09 Bn | 872.20 Mn | - | 210.33 Mn |
| 8 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.02 Bn | 1.02 Bn | - | 202.68 Mn |
| 9 | Vulcan Materials | 368.32 Mn | -231.38 Mn | 665.60 Mn | 682.50 Mn |
| 10 | Eagle Materials | 247.76 Mn | -943.87 Mn | 174.73 Mn | 361.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.24 Bn |
| 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 |
API Access
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_KEYimport 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();