Awaysis Capital (AWCA) Operating Expenses (2010 - 2026)
Awaysis Capital's Operating Expenses came in at $766,895 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 19.7% from $640,519 a year earlier but down 5.3% from the prior quarter.
Awaysis Capital (AWCA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Awaysis Capital reported Operating Expenses of $3.18 million, up 9.2% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $3.14 million, down 55.6% from FY2024.
- Operating Expenses carries a four-year compound annual growth rate of 302.0% (FY2021 to FY2025).
- Going back by fiscal year, Operating Expenses was $7.07 million in FY2024 (+60.6%), $4.4 million in FY2023, $239,851 in FY2022 and $12,023 in FY2021.
- The five-year range for quarterly Operating Expenses is $10,881 (fiscal Q4 2021) to $3.54 million (fiscal Q1 2024).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with an average decline of 4.1%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2024 (growth of 787.6%), and the weakest in fiscal Q1 2025 (a decline of 79.9%).
- Business Quant data shows AWCA's Operating Expenses at $810,191 (Q2 2026), $734,666 (Q1 2026) and $870,911 (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | Awaysis Capital | 16.37 Mn | 14.87 Mn | 205,045.00 | 766,895.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 766,895.00 |
| Dec 31, 2025 | 810,191.00 |
| Sep 30, 2025 | 734,666.00 |
| Jun 30, 2025 | 870,911.00 |
| Mar 31, 2025 | 640,519.00 |
| Dec 31, 2024 | 918,164.00 |
| Sep 30, 2024 | 710,987.00 |
| Jun 30, 2024 | 643,587.00 |
| Mar 31, 2024 | 2.24 Mn |
| Dec 31, 2023 | 655,380.00 |
| Sep 30, 2023 | 3.54 Mn |
| Jun 30, 2023 | 489,541.00 |
| Mar 31, 2023 | 1.60 Mn |
| Dec 31, 2022 | 1.91 Mn |
| Sep 30, 2022 | 398,656.00 |
| Jun 30, 2022 | 92,342.00 |
| Mar 31, 2022 | 113,599.00 |
| Dec 31, 2021 | 15,312.00 |
| Sep 30, 2021 | 18,598.00 |
| Jun 30, 2021 | 10,881.00 |
Awaysis Capital 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=AWCA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AWCA", "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=AWCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();