Martin Marietta Materials (MLM) Current Debt (2010 - 2017)
Martin Marietta Materials' Current Debt came in at -$2.75 million for Q3 2017, compared with -$7.14 million a year earlier.
Analysis
Martin Marietta Materials (MLM) Current Debt (2010 - 2017) Analysis & Trends
For FY2016, Martin Marietta Materials' Current Debt was -$10.24 million.
- Going back by year, Current Debt was $10.05 million in FY2015, -$2.37 million in FY2014 and $2.56 million in FY2013.
- The Q3 2017 figure represents the highest quarterly Current Debt since Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 55.76 Bn | 42.27 Bn | 4.29 Bn | - |
| 2 | Vulcan Materials | 31.85 Bn | 31.16 Bn | 625.50 Mn | - |
| 3 | Martin Marietta Materials | 29.47 Bn | 28.97 Bn | 495.00 Mn | - |
| 4 | Amrize | 20.91 Bn | 16.33 Bn | 993.00 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 | - |
| 7 | Knife River | 3.03 Bn | 2.65 Bn | 162.77 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 | - | - |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 356.57 Mn | 221.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | -2.75 Mn |
| Sep 30, 2016 | -7.14 Mn |
| Jun 30, 2016 | 7.14 Mn |
| Mar 31, 2016 | -10.24 Mn |
| Dec 31, 2015 | 10.24 Mn |
| Mar 31, 2015 | -183,000.00 |
| Dec 31, 2014 | 183,000.00 |
| Mar 31, 2014 | -2.56 Mn |
| Dec 31, 2013 | -7.88 Mn |
| Sep 30, 2012 | -3.25 Mn |
| Jun 30, 2012 | 1.42 Mn |
| Mar 31, 2012 | 1.93 Mn |
| Mar 31, 2011 | -2.12 Mn |
| Dec 31, 2010 | 2.12 Mn |
| Sep 30, 2010 | -3.40 Mn |
| Jun 30, 2010 | 1.18 Mn |
| Mar 31, 2010 | 490,000.00 |
API Access
Martin Marietta Materials Current Debt 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=current-debt&ticker=MLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=MLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();