Titan America (TTAM) Net Margin (2023 - 2026)
Titan America (TTAM) reported Net Margin of 8.78% for the quarter ended Jun 30, 2026, up 0.49 percentage points from the prior quarter.
Titan America (TTAM) Net Margin (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Titan America's Net Margin came in at 9.70%; for the year ended Mar 31, 2026, it was 11.08%.
- Net Margin has a four-year change of +6.48 percentage points (years ended Mar 2022 to Mar 2026).
- By year, Net Margin came in at 11.14% in the year ended Dec 31, 2025 (+0.98 pp), 10.16% in the year ended Dec 31, 2024 (+0.41 pp), 9.75% in the year ended Dec 31, 2023 (+5.16 pp) and 4.60% in the year ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Crh Public | 55.13 Bn | 41.64 Bn | 4.29 Bn | 13.79% |
| 2 | Vulcan Materials | 31.67 Bn | 30.99 Bn | 625.50 Mn | 15.00% |
| 3 | Martin Marietta Materials | 28.81 Bn | 28.31 Bn | 495.00 Mn | 12.89% |
| 4 | Amrize | 20.57 Bn | 15.99 Bn | 993.00 Mn | 13.68% |
| 5 | Cemex Sab De Cv | 13.82 Bn | 13.82 Bn | 1.62 Bn | 7.74% |
| 6 | Eagle Materials | 5.27 Bn | 4.28 Bn | 161.25 Mn | 15.69% |
| 7 | Knife River | 2.86 Bn | 2.48 Bn | 162.77 Mn | 4.68% |
| 8 | Titan America | 2.51 Bn | 1.99 Bn | 113.15 Mn | 9.19% |
| 9 | Loma Negra Compania Industrial Argentina Sociedad Anonima | 1.07 Bn | -45.50 Bn | - | - |
| 10 | Cementos Pacasmayo Saa | 1.04 Bn | 361.65 Mn | 221.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.19% |
| Mar 31, 2026 | 8.29% |
| Dec 31, 2025 | 10.73% |
| Jun 30, 2025 | 11.91% |
| Mar 31, 2025 | 8.50% |
| Dec 31, 2024 | 9.37% |
| Dec 31, 2023 | 11.39% |
Titan America Net Margin 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=net-margin&ticker=TTAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=TTAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();