Cemex Sab De Cv (CX) Land & Improvements (2012 - 2015)
Cemex Sab De Cv (CX) posted Land & Improvements of -$291.66 million for the quarter ended Dec 31, 2023, compared with -$5.42 billion a year earlier.
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Analysis
Cemex Sab De Cv (CX) Land & Improvements (2012 - 2015) Analysis & Trends
Since the quarter ended Dec 31, 2012, Cemex Sab De Cv has reported Land & Improvements for 6 quarters.
- In prior years, Cemex Sab De Cv's Land & Improvements was -$5.42 billion in the year ended Dec 31, 2022, -$297.07 million in the year ended Dec 31, 2021, -$284.84 million in the year ended Dec 31, 2020 and -$5.94 billion in the year ended Dec 31, 2019.
- The figure for the quarter ended Dec 31, 2023 stands as the highest quarterly Land & Improvements since the quarter ended Dec 31, 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 57.55 Bn | 44.06 Bn | 4.29 Bn | - |
| 2 | Vulcan Materials | 34.76 Bn | 34.07 Bn | 625.50 Mn | - |
| 3 | Martin Marietta Materials | 31.09 Bn | 30.58 Bn | 495.00 Mn | - |
| 4 | Amrize | 21.69 Bn | 17.11 Bn | 993.00 Mn | - |
| 5 | Cemex Sab De Cv | 14.66 Bn | 14.66 Bn | 1.62 Bn | - |
| 6 | Eagle Materials | 5.51 Bn | 4.52 Bn | 161.25 Mn | - |
| 7 | Knife River | 3.06 Bn | 2.67 Bn | 162.77 Mn | - |
| 8 | Titan America | 2.54 Bn | 2.02 Bn | 113.15 Mn | - |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.10 Bn | 1.10 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.08 Bn | 866.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -814.00 Mn |
| Dec 31, 2014 | -542.00 Mn |
| Dec 31, 2012 | 13.24 Mn |
API Access
Cemex Sab De Cv Land & Improvements 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=land-and-improvements&ticker=CX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "CX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=CX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();