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 | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 169.39 Bn | 148.17 Bn | 2.90 Bn |
| 3 | Rio Tinto | 142.77 Bn | 103.27 Bn | - |
| 4 | Newmont | 124.88 Bn | 92.89 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.24 Bn | 83.28 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.91 Bn | 83.54 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.26 Bn | 44.46 Bn | 2.90 Bn |
| 8 | Nucor | 59.52 Bn | 48.90 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.21 Bn | 27.24 Bn | - |
| 10 | National Steel | 1.53 Bn | -6.58 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();