Rantizo (RNTZ) Buildings (2023 - 2024)
Analysis
Rantizo (RNTZ) Buildings (2023 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 90.87 Bn | 88.95 Bn | 1.55 Bn |
| 2 | Ferrovial | 39.19 Bn | 17.44 Bn | - |
| 3 | Emcor | 30.08 Bn | 26.47 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.73 Bn | 12.39 Bn | 810.70 Mn |
| 5 | Mastec | 14.19 Bn | 12.98 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.90 Bn | 10.23 Bn | 289.96 Mn |
| 7 | IES Holdings | 9.00 Bn | 7.86 Bn | 340.66 Mn |
| 8 | Stantec | 8.19 Bn | 7.12 Bn | 1.36 Bn |
| 9 | Aecom | 8.00 Bn | 3.12 Bn | -34.04 Mn |
| 10 | Rantizo | 76.50 Mn | 70.71 Mn | - |
API Access
Rantizo 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=RNTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "RNTZ", "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=RNTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();