Eason Technology (DXF) Change in Accured Expenses (2010 - 2015)
Eason Technology (DXF) recorded Change in Accured Expenses of $2.56 million in FY2023, down 5.2% from $2.7 million in FY2022.
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Analysis
Eason Technology (DXF) Change in Accured Expenses (2010 - 2015) Analysis & Trends
Starting with FY2009, Eason Technology's Change in Accured Expenses history includes 15 years.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 66.8% (FY2018 to FY2023).
- The FY2023 figure is the lowest annual Change in Accured Expenses since FY2019.
- Per Business Quant data, DXF's Change in Accured Expenses was $2.7 million in FY2022 (-6.2%), $2.88 million in FY2021 (+7.9%), $2.67 million in FY2020 (+46.4%) and $1.82 million in FY2019 (+818.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.83 Bn | 22.66 Bn | - | - |
| 2 | St Joe | 3.87 Bn | 3.36 Bn | 73.42 Mn | 3.18 Mn |
| 3 | Millrose Properties | 3.65 Bn | 3.29 Bn | - | - |
| 4 | LandBridge | 2.24 Bn | 2.11 Bn | 65.71 Mn | -7.50 Mn |
| 5 | Opendoor Technologies | 1.97 Bn | -1.85 Bn | 86.00 Mn | 18.00 Mn |
| 6 | Forestar | 1.28 Bn | -66.65 Mn | 84.10 Mn | 5.40 Mn |
| 7 | Five Point Holdings | 634.45 Mn | -823.18 Mn | -23.72 Mn | 2.60 Mn |
| 8 | Tejon Ranch | 435.85 Mn | 355.47 Mn | - | -529,000.00 |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 10 | Eason Technology | 448,427.04 | -212,967.99 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 2.56 Mn |
| Dec 31, 2014 | 883,426.15 |
| Sep 30, 2012 | 4.39 Mn |
| Dec 31, 2011 | 7.01 Mn |
| Sep 30, 2011 | -7.56 Mn |
| Jun 30, 2011 | 16.84 Mn |
| Mar 31, 2011 | 12,175.12 |
| Dec 31, 2010 | 480,569.42 |
| Sep 30, 2010 | 1.33 Mn |
| Jun 30, 2010 | -124,153.51 |
| Mar 31, 2010 | 165,156.72 |
API Access
Eason Technology Change in Accured 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=change-in-accured-expenses&ticker=DXF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();