Hci (HCI) Buildings (2015)
Hci (HCI) posted Buildings of $1.73 million for Q3 2015.
Analysis
Hci (HCI) Buildings (2015) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - |
| 10 | Hci | 2.51 Bn | -1.83 Bn | 175.58 Mn |
API Access
Hci 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=HCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "HCI", "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=HCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();