Advanced Oxygen Technologies (AOXY) Other Accumulated Expenses (2021 - 2023)
Advanced Oxygen Technologies (AOXY) posted Other Accumulated Expenses of $3,059 for fiscal Q4 2023 (quarter ended Jun 30, 2023), up 0.1% from the prior quarter.
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Analysis
Advanced Oxygen Technologies (AOXY) Other Accumulated Expenses (2021 - 2023) Analysis & Trends
Since fiscal Q1 2022, Advanced Oxygen Technologies has reported Other Accumulated Expenses for 7 quarters.
- The fiscal Q4 2023 figure stands as the highest quarterly Other Accumulated Expenses since fiscal Q3 2022.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $3,055 (Q3 2023), $2,992 (Q2 2023) and $2,759 (Q1 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 | Advanced Oxygen Technologies | 263,435.59 | 110,046.59 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 3,059.00 |
| Mar 31, 2023 | 3,055.00 |
| Dec 31, 2022 | 2,992.00 |
| Sep 30, 2022 | 2,759.00 |
| Mar 31, 2022 | 3,112.00 |
| Dec 31, 2021 | 3,177.00 |
| Sep 30, 2021 | 3,255.00 |
API Access
Advanced Oxygen Technologies 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=AOXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "AOXY", "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=AOXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();