International Land Alliance (ILAL) Accumulated Expenses (2016 - 2023)
International Land Alliance (ILAL) posted Accumulated Expenses of $205,033 for Q2 2023, up 21.9% from the prior quarter.
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Analysis
International Land Alliance (ILAL) Accumulated Expenses (2016 - 2023) Analysis & Trends
At the end of FY2022, International Land Alliance's Accumulated Expenses came in at $132,841, up 235.4% from FY2021.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -18.9% (FY2017 to FY2022).
- In prior years, International Land Alliance's Accumulated Expenses was $39,602 in FY2021 and $440,714 in FY2018 (+16.6%).
- The Q2 2023 figure stands as the highest quarterly Accumulated Expenses since Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn |
| 10 | International Land Alliance | 9.94 Mn | 9.80 Mn | 637,093.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 205,033.00 |
| Mar 31, 2023 | 168,218.00 |
| Dec 31, 2022 | 132,841.00 |
| Dec 31, 2021 | 39,602.00 |
| Sep 30, 2019 | 137,375.00 |
| Jun 30, 2019 | 159,885.00 |
| Mar 31, 2019 | 501,470.00 |
| Dec 31, 2018 | 440,714.00 |
| Sep 30, 2018 | 392,477.00 |
| Jun 30, 2018 | 381,550.00 |
| Mar 31, 2018 | 335,805.00 |
| Dec 31, 2017 | 378,061.00 |
| Dec 31, 2016 | 293,331.00 |
API Access
International Land Alliance 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=ILAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ILAL", "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=ILAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();