International Land Alliance (ILAL) Operating Expenses (2017 - 2026)
International Land Alliance (ILAL) recorded Operating Expenses of $2.81 million in Q1 2026, up 152.6% from $1.11 million a year earlier but down 36.1% from the prior quarter.
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Analysis
International Land Alliance (ILAL) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, International Land Alliance's Operating Expenses came in at $9.67 million as of Mar 31, 2026, up 203.2% year-over-year; for FY2025, it came in at $7.98 million, up 192.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.73 million in FY2024 (-37.3%), $4.36 million in FY2023 (-47.8%), $8.35 million in FY2022 (+79.3%) and $4.66 million in FY2021 (+117.0%).
- Quarterly Operating Expenses has ranged from $386,552 in Q2 2024 to $4.94 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 93.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 390.6% in Q2 2021, against a decline of 69.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.4 million (Q4 2025), $1.16 million (Q3 2025) and $1.31 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | 21.49 Mn |
| 10 | International Land Alliance | 11.17 Mn | 11.03 Mn | 637,093.00 | 2.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.81 Mn |
| Dec 31, 2025 | 4.40 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.11 Mn |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 635,704.00 |
| Jun 30, 2024 | 386,552.00 |
| Mar 31, 2024 | 652,059.00 |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 1.02 Mn |
| Jun 30, 2023 | 727,772.00 |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 4.94 Mn |
| Sep 30, 2022 | 533,034.00 |
| Jun 30, 2022 | 1.51 Mn |
| Mar 31, 2022 | 1.36 Mn |
| Dec 31, 2021 | 1.46 Mn |
| Sep 30, 2021 | 557,822.00 |
| Jun 30, 2021 | 1.85 Mn |
API Access
International Land Alliance Operating 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=operating-expenses&ticker=ILAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ILAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();