Eason Technology (DXF) Operating Expenses (2009 - 2015)
Eason Technology (DXF) posted Operating Expenses of -$1.52 million for FY2025, compared with -$1.61 million in FY2024.
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Analysis
Eason Technology (DXF) Operating Expenses (2009 - 2015) Analysis & Trends
Since FY2009, Eason Technology has reported Operating Expenses for 17 years.
- The FY2025 figure stands as the highest annual Operating Expenses since FY2021.
- Business Quant data shows DXF's Operating Expenses at -$1.61 million in FY2024, -$2.02 million in FY2023, -$1.64 million in FY2022 and -$1.27 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.55 Bn | 22.38 Bn | - | 54.24 Mn |
| 2 | St Joe | 3.95 Bn | 3.44 Bn | 73.42 Mn | 104.06 Mn |
| 3 | Millrose Properties | 3.88 Bn | 3.52 Bn | - | 29.22 Mn |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn | 15.90 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.83 Bn | 86.00 Mn | 230.00 Mn |
| 6 | Forestar | 1.30 Bn | -43.39 Mn | 84.10 Mn | 38.30 Mn |
| 7 | Five Point Holdings | 662.61 Mn | -795.01 Mn | -23.72 Mn | 21.49 Mn |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 13.91 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 10 | Eason Technology | 422,766.72 | -238,628.32 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -1.35 Mn |
| Sep 30, 2015 | -719,557.99 |
| Jun 30, 2015 | -926,000.00 |
| Mar 31, 2015 | -1.07 Mn |
| Dec 31, 2014 | -1.24 Mn |
| Sep 30, 2014 | -1.00 Mn |
| Jun 30, 2014 | -1.13 Mn |
| Mar 31, 2014 | -1.38 Mn |
| Dec 31, 2013 | -1.36 Mn |
| Sep 30, 2013 | -1.24 Mn |
| Jun 30, 2013 | -1.43 Mn |
| Mar 31, 2013 | -1.45 Mn |
| Dec 31, 2012 | -1.48 Mn |
| Sep 30, 2012 | -1.03 Mn |
| Jun 30, 2012 | -1.03 Mn |
| Mar 31, 2012 | -1.40 Mn |
| Dec 31, 2011 | -2.03 Mn |
| Sep 30, 2011 | -1.65 Mn |
| Jun 30, 2011 | -4.19 Mn |
| Mar 31, 2011 | -531,900.42 |
API Access
Eason Technology 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=DXF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DXF", "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=DXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();