Alset (AEI) Accumulated Expenses (2019 - 2020)
Powered by 
Analysis
Alset (AEI) Accumulated Expenses (2019 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.04 Bn | 21.87 Bn | - |
| 2 | St Joe | 3.99 Bn | 3.48 Bn | 73.42 Mn |
| 3 | Millrose Properties | 3.96 Bn | 3.60 Bn | - |
| 4 | Opendoor Technologies | 1.93 Bn | -1.89 Bn | 86.00 Mn |
| 5 | Forestar | 1.34 Bn | -11.96 Mn | 84.10 Mn |
| 6 | Five Point Holdings | 673.73 Mn | -783.89 Mn | -23.72 Mn |
| 7 | Tejon Ranch | 449.62 Mn | 369.24 Mn | - |
| 8 | Nam Tai Property | 260.36 Mn | 78.98 Mn | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 |
| 10 | Alset | 22.77 Mn | -113.54 Mn | 83,877.00 |
API Access
Alset Accumulated Expenses 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=accumulated-expenses&ticker=AEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AEI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();