Alset (AEI) Other Accumulated Expenses (2019 - 2023)
Alset's Other Accumulated Expenses came in at $236,699 for Q4 2023, unchanged from $236,699 a year earlier and unchanged from the prior quarter.
Analysis
Alset (AEI) Other Accumulated Expenses (2019 - 2023) Analysis & Trends
Going back to Q4 2019, Alset's Other Accumulated Expenses data covers 9 quarters.
- Other Accumulated Expenses carries a four-year compound annual growth rate of -27.0% (FY2019 to FY2023).
- Going back by year, Other Accumulated Expenses was $236,699 in FY2022, $265,929 in FY2020 (-68.1%) and $834,536 in FY2019.
- The five-year range for quarterly Other Accumulated Expenses is $41,239 (Q1 2021) to $834,536 (Q4 2019).
- Business Quant data shows AEI's Other Accumulated Expenses at $236,699 (Q3 2023), $236,699 (Q2 2023) and $236,699 (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn |
| 10 | Alset | 28.78 Mn | -99.88 Mn | 83,877.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 236,699.00 |
| Sep 30, 2023 | 236,699.00 |
| Jun 30, 2023 | 236,699.00 |
| Mar 31, 2023 | 236,699.00 |
| Dec 31, 2022 | 236,699.00 |
| Mar 31, 2021 | 41,239.00 |
| Dec 31, 2020 | 265,929.00 |
| Sep 30, 2020 | 231,418.00 |
| Dec 31, 2019 | 834,536.00 |
API Access
Alset Other 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=other-accumulated-expenses&ticker=AEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=AEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();