Eason Technology (DXF) Capital Expenditures (2011 - 2015)
Eason Technology (DXF) posted Capital Expenditures of -$39,248 for FY2019, compared with -$2.78 million in FY2018.
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Analysis
Eason Technology (DXF) Capital Expenditures (2011 - 2015) Analysis & Trends
Since FY2010, Eason Technology has reported Capital Expenditures for 8 years.
- The FY2019 figure stands as the highest annual Capital Expenditures since FY2013.
- Business Quant data shows DXF's Capital Expenditures at -$2.78 million in FY2018 and -$541,603 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.84 Bn | 22.67 Bn | - | 132.02 Mn |
| 2 | St Joe | 3.96 Bn | 3.46 Bn | 73.42 Mn | 8.46 Mn |
| 3 | Millrose Properties | 3.83 Bn | 3.47 Bn | - | - |
| 4 | LandBridge | 2.23 Bn | 2.10 Bn | 65.71 Mn | 1.13 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.82 Bn | 86.00 Mn | 5.00 Mn |
| 6 | Forestar | 1.30 Bn | -44.67 Mn | 84.10 Mn | - |
| 7 | Five Point Holdings | 659.65 Mn | -797.98 Mn | -23.72 Mn | 176,000.00 |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 8.46 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 10 | Eason Technology | 435,848.46 | -225,546.58 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -524,000.00 |
| Dec 31, 2014 | -14,664.03 |
| Sep 30, 2014 | -8,121.60 |
| Sep 30, 2013 | -6,540.40 |
| Jun 30, 2013 | -8,614.69 |
| Mar 31, 2013 | -2,000.00 |
| Dec 31, 2012 | -63,367.76 |
| Sep 30, 2012 | -485,751.98 |
| Jun 30, 2012 | -1,738.57 |
| Mar 31, 2012 | -59,000.00 |
| Dec 31, 2011 | -1.14 Mn |
| Sep 30, 2011 | 19,207.03 |
| Jun 30, 2011 | -1.38 Mn |
| Mar 31, 2011 | -234,979.75 |
API Access
Eason Technology Capital Expenditures 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=capital-expenditures&ticker=DXF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();