Eason Technology (DXF) Price to Book (2025)
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Analysis
Eason Technology (DXF) Price to Book (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.81 Bn | 17.80 Bn | - |
| 2 | Howard Hughes Holdings | 4.58 Bn | -4.29 Bn | 435.75 Mn |
| 3 | Millrose Properties | 4.31 Bn | 4.13 Bn | - |
| 4 | St Joe | 3.98 Bn | 3.47 Bn | 80.65 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.19 Bn | 2.01 Bn | - |
| 6 | LandBridge | 1.82 Bn | 1.69 Bn | 65.71 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.45 Bn | 38.00 Mn |
| 8 | Forestar | 1.21 Bn | -133.09 Mn | 84.10 Mn |
| 9 | Tejon Ranch | 462.18 Mn | 394.06 Mn | - |
| 10 | Eason Technology | 323,269.99 | -338,125.05 | - |
API Access
Eason Technology Price to Book 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=price-to-book&ticker=DXF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=DXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();