National Steel (SID) Buildings (2026)
Analysis
National Steel (SID) Buildings (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 146.61 Bn | 121.34 Bn | 3.10 Bn |
| 3 | Rio Tinto | 139.96 Bn | 100.78 Bn | - |
| 4 | Newmont | 132.29 Bn | 97.43 Bn | 4.22 Bn |
| 5 | Agnico Eagle Mines | 100.42 Bn | 87.36 Bn | 2.15 Bn |
| 6 | Ternium | 99.83 Bn | 68.08 Bn | 1.04 Bn |
| 7 | Freeport-Mcmoran | 89.95 Bn | 73.99 Bn | 2.19 Bn |
| 8 | Barrick Mining | 72.53 Bn | 47.73 Bn | 2.90 Bn |
| 9 | Nucor | 56.66 Bn | 46.05 Bn | 2.03 Bn |
| 10 | National Steel | 1.10 Bn | -7.01 Bn | 579.08 Mn |
API Access
National Steel Buildings 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=buildings&ticker=SID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "SID", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=SID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();