Eastern International (ELOG) Price to Book (2025 - 2026)
Eastern International's (ELOG) Price to Book came in at 0.82 for the quarter ended Mar 31, 2026.
Analysis
Eastern International (ELOG) Price to Book (2025 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - |
| 10 | Eastern International | 6.67 Mn | 3.62 Mn | - |
API Access
Eastern International 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=ELOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ELOG", "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=ELOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();