Titan America (TTAM) Operating Expenses (2024 - 2026)
Titan America (TTAM) reported Operating Expenses of -$67.54 million for the quarter ended Jun 30, 2026.
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Analysis
Titan America (TTAM) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Titan America's Operating Expenses came in at -$166.49 million; for the year ended Mar 31, 2026, it was $409,000.
- By year, Operating Expenses came in at -$127.8 million in the year ended Dec 31, 2025, -$117.11 million in the year ended Dec 31, 2024, -$99.91 million in the year ended Dec 31, 2023 and -$87.51 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 56.29 Bn | 42.80 Bn | 4.29 Bn | 2.27 Bn |
| 2 | Vulcan Materials | 31.41 Bn | 30.73 Bn | 625.50 Mn | 141.30 Mn |
| 3 | Martin Marietta Materials | 28.77 Bn | 28.26 Bn | 495.00 Mn | 134.00 Mn |
| 4 | Amrize | 20.73 Bn | 16.15 Bn | 993.00 Mn | 283.00 Mn |
| 5 | Cemex Sab De Cv | 14.02 Bn | 14.02 Bn | 1.62 Bn | -937.35 Mn |
| 6 | Eagle Materials | 5.34 Bn | 4.36 Bn | 161.25 Mn | 20.20 Mn |
| 7 | Knife River | 2.99 Bn | 2.61 Bn | 162.77 Mn | 81.65 Mn |
| 8 | Titan America | 2.53 Bn | 2.02 Bn | 113.15 Mn | -36.15 Mn |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.07 Bn | -45.51 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.03 Bn | 359.11 Mn | 221.13 Mn | -84.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.15 Mn |
| Mar 31, 2026 | -31.39 Mn |
| Dec 31, 2025 | -34.27 Mn |
| Jun 30, 2025 | -33.28 Mn |
| Mar 31, 2025 | -29.03 Mn |
| Dec 31, 2024 | -34.80 Mn |
API Access
Titan America 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=TTAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TTAM", "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=TTAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();