Eason Technology (DXF) Receivables (2009 - 2025)
Eason Technology (DXF) reported Receivables of $2.35 million for Q4 2025, up 34.6% from $1.75 million a year earlier.
Analysis
Eason Technology (DXF) Receivables (2009 - 2025) Analysis & Trends
At the end of FY2025, Eason Technology posted Receivables of $2.32 million, up 32.9% from FY2024.
- By year, Receivables came in at $1.75 million in FY2024.
- Five-year quarterly Receivables spans a low of $645,097 in Q2 2024 and a high of $2.37 million in Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.55 Bn | 22.38 Bn | - | 174.77 Mn |
| 2 | St Joe | 3.95 Bn | 3.44 Bn | 73.42 Mn | 17.94 Mn |
| 3 | Millrose Properties | 3.88 Bn | 3.52 Bn | - | - |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn | 27.50 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.83 Bn | 86.00 Mn | - |
| 6 | Forestar | 1.30 Bn | -43.39 Mn | 84.10 Mn | - |
| 7 | Five Point Holdings | 662.61 Mn | -795.01 Mn | -23.72 Mn | - |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 2.64 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 3.35 Mn |
| 10 | Eason Technology | 422,766.72 | -238,628.32 | - | 2.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.39 Mn |
| Jun 30, 2025 | 2.39 Mn |
| Dec 31, 2024 | 1.72 Mn |
| Jun 30, 2024 | 642,613.39 |
| Jun 30, 2023 | 82.92 Mn |
| Dec 31, 2022 | 79.87 Mn |
| Jun 30, 2022 | 93.82 Mn |
| Dec 31, 2021 | 87.12 Mn |
| Jun 30, 2021 | 114.01 Mn |
| Dec 31, 2020 | 101.53 Mn |
| Jun 30, 2020 | 89.15 Mn |
| Jun 30, 2019 | 90.30 Mn |
| Dec 31, 2018 | 1.03 Mn |
| Jun 30, 2018 | 1.69 Mn |
| Dec 31, 2017 | 6.07 Mn |
| Jun 30, 2017 | 38.01 Mn |
| Dec 31, 2016 | 2.70 Mn |
| Jun 30, 2016 | 57.79 Mn |
| Dec 31, 2015 | -41,504.66 |
| Jun 30, 2015 | 38.88 Mn |
API Access
Eason Technology Receivables 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=receivables&ticker=DXF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();