Eason Technology (DXF) Accumulated Expenses (2014 - 2025)
Eason Technology's Accumulated Expenses was $820,154 in Q4 2025, down 0.4% from $823,183 a year earlier.
Analysis
Eason Technology (DXF) Accumulated Expenses (2014 - 2025) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Eason Technology came in at $809,452, down 1.6% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $822,915 in FY2024 (-33.0%), $1.23 million in FY2023 (-12.1%), $1.4 million in FY2022 (+2.2%) and $1.37 million in FY2021 (+32.0%).
- The Q4 2025 figure marks the lowest quarterly Accumulated Expenses since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.73 Bn | 21.56 Bn | - |
| 2 | Millrose Properties | 3.96 Bn | 3.59 Bn | - |
| 3 | St Joe | 3.92 Bn | 3.41 Bn | 73.42 Mn |
| 4 | Opendoor Technologies | 1.87 Bn | -1.95 Bn | 86.00 Mn |
| 5 | Forestar | 1.33 Bn | -19.63 Mn | 84.10 Mn |
| 6 | Five Point Holdings | 655.20 Mn | -802.42 Mn | -23.72 Mn |
| 7 | Tejon Ranch | 434.50 Mn | 354.12 Mn | - |
| 8 | Nam Tai Property | 260.36 Mn | 78.98 Mn | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 |
| 10 | Eason Technology | 416,603.19 | -244,791.84 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 831,463.26 |
| Dec 31, 2024 | 810,210.84 |
| Dec 31, 2023 | 1.22 Mn |
| Jun 30, 2023 | 11.28 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Jun 30, 2022 | 9.51 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Jun 30, 2021 | 7.05 Mn |
| Dec 31, 2020 | 1.10 Mn |
| Jun 30, 2020 | 3.92 Mn |
| Dec 31, 2019 | 789,469.88 |
| Jun 30, 2019 | 1.60 Mn |
| Dec 31, 2018 | 833,769.58 |
| Jun 30, 2018 | 906,841.33 |
| Dec 31, 2017 | 1.08 Mn |
| Dec 31, 2016 | 15,550.08 |
| Dec 31, 2015 | 92,759.21 |
| Dec 31, 2014 | 48,547.97 |
API Access
Eason Technology 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=accumulated-expenses&ticker=DXF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();