Loma Negra Compania Industrial Argentina Sociedad Anonima (LOMA) Operating Expenses (2016)
Loma Negra Compania Industrial Argentina Sociedad Anonima (LOMA) recorded Operating Expenses of -$94.34 billion in the year ended Dec 31, 2025, compared with -$96.26 billion a year earlier.
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Analysis
Loma Negra Compania Industrial Argentina Sociedad Anonima (LOMA) Operating Expenses (2016) Analysis & Trends
Starting with the year ended Dec 31, 2015, Loma Negra Compania Industrial Argentina Sociedad Anonima's Operating Expenses history includes 11 years.
- The figure for the year ended Dec 31, 2025 is the highest annual Operating Expenses since the year ended Dec 31, 2022.
- Per Business Quant data, LOMA's Operating Expenses was -$96.26 billion in the year ended Dec 31, 2024, -$110.76 billion in the year ended Dec 31, 2023, -$84.84 billion in the year ended Dec 31, 2022 and -$312.28 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 64.80 Bn | 49.33 Bn | 4.42 Bn | 2.37 Bn |
| 2 | Vulcan Materials | 36.96 Bn | 36.33 Bn | 665.60 Mn | 137.00 Mn |
| 3 | Martin Marietta Materials | 34.06 Bn | 33.47 Bn | 651.00 Mn | 217.00 Mn |
| 4 | Amrize | 22.81 Bn | 18.76 Bn | 1.08 Bn | 291.00 Mn |
| 5 | Cemex Sab De Cv | 15.87 Bn | 12.07 Bn | - | - |
| 6 | Eagle Materials | 5.72 Bn | 4.53 Bn | 174.73 Mn | 26.93 Mn |
| 7 | Knife River | 3.28 Bn | 2.80 Bn | 287.60 Mn | 73.47 Mn |
| 8 | Titan America | 2.11 Bn | 2.11 Bn | - | - |
| 9 | Cementos Pacasmayo Saa | 1.10 Bn | 882.37 Mn | - | - |
| 10 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.03 Bn | 1.03 Bn | - | - |
API Access
Loma Negra Compania Industrial Argentina Sociedad Anonima Operating Expenses 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-expenses&ticker=LOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LOMA", "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-expenses&ticker=LOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();