Titan America (TTAM) Selling, General & Administrative (2024 - 2026)
Titan America (TTAM) recorded Selling, General & Administrative of -$71.54 million in the quarter ended Jun 30, 2026.
Titan America (TTAM) Selling, General & Administrative (2024 - 2026) Analysis & Trends
On a TTM basis, Titan America's Selling, General & Administrative came in at -$171.86 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$130.09 million.
- Across earlier years, Selling, General & Administrative came in at -$128.93 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 54.58 Bn | 41.08 Bn | 4.29 Bn | 2.27 Bn |
| 2 | Vulcan Materials | 31.47 Bn | 30.78 Bn | 625.50 Mn | 141.30 Mn |
| 3 | Martin Marietta Materials | 28.98 Bn | 28.48 Bn | 495.00 Mn | 116.00 Mn |
| 4 | Amrize | 20.48 Bn | 15.90 Bn | 993.00 Mn | 283.00 Mn |
| 5 | Cemex Sab De Cv | 13.85 Bn | 13.85 Bn | 1.62 Bn | - |
| 6 | Eagle Materials | 5.28 Bn | 4.29 Bn | 161.25 Mn | 20.20 Mn |
| 7 | Knife River | 2.86 Bn | 2.47 Bn | 162.77 Mn | 81.65 Mn |
| 8 | Titan America | 2.47 Bn | 1.95 Bn | 113.15 Mn | -38.75 Mn |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.07 Bn | -45.51 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.05 Bn | 371.83 Mn | 221.13 Mn | -65.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.75 Mn |
| Mar 31, 2026 | -32.79 Mn |
| Dec 31, 2025 | -34.24 Mn |
| Jun 30, 2025 | -33.29 Mn |
| Mar 31, 2025 | -30.91 Mn |
| Dec 31, 2024 | -37.11 Mn |
Titan America Selling, General & Administrative 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=selling-general-and-administrative&ticker=TTAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TTAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();