International Land Alliance (ILAL) Total Liabilities (2016 - 2026)
International Land Alliance (ILAL) posted Total Liabilities of $22.67 million for Q1 2026, up 36.7% from $16.58 million a year earlier but down 11.3% from the prior quarter.
International Land Alliance (ILAL) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, International Land Alliance's Total Liabilities came in at $25.57 million, up 57.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 47.9% (FY2020 to FY2025).
- In prior years, International Land Alliance's Total Liabilities was $16.23 million in FY2024 (-44.5%), $29.26 million in FY2023 (+386.7%), $6.01 million in FY2022 (+26.0%) and $4.77 million in FY2021 (+32.2%).
- Quarterly Total Liabilities has run from a low of $4.36 million in Q3 2021 to a high of $34.82 million in Q3 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with an average decline of 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 590.0%; the weakest was Q3 2024, with a decline of 54.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $25.57 million (Q4 2025), $18.97 million (Q3 2025) and $17.92 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 187.08 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | 5.30 Mn |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 545.46 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 3.86 Bn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 735.38 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 1.69 Bn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 2.05 Bn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 1.36 Bn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | 884.80 Mn |
| 10 | International Land Alliance | 11.17 Mn | 11.03 Mn | 637,093.00 | 22.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 22.67 Mn |
| Dec 31, 2025 | 25.57 Mn |
| Sep 30, 2025 | 18.97 Mn |
| Jun 30, 2025 | 17.92 Mn |
| Mar 31, 2025 | 16.58 Mn |
| Dec 31, 2024 | 16.23 Mn |
| Sep 30, 2024 | 15.74 Mn |
| Jun 30, 2024 | 15.71 Mn |
| Mar 31, 2024 | 15.98 Mn |
| Dec 31, 2023 | 29.26 Mn |
| Sep 30, 2023 | 34.82 Mn |
| Jun 30, 2023 | 33.07 Mn |
| Mar 31, 2023 | 32.87 Mn |
| Dec 31, 2022 | 6.01 Mn |
| Sep 30, 2022 | 6.35 Mn |
| Jun 30, 2022 | 5.32 Mn |
| Mar 31, 2022 | 4.76 Mn |
| Dec 31, 2021 | 4.77 Mn |
| Sep 30, 2021 | 4.36 Mn |
| Jun 30, 2021 | 4.67 Mn |
International Land Alliance Total Liabilities 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=total-liabilities&ticker=ILAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ILAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();