Werner Enterprises (WERN) Land & Improvements (2010 - 2011)
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Analysis
Werner Enterprises (WERN) Land & Improvements (2010 - 2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 3.60 Bn |
| 10 | Werner Enterprises | 1.62 Bn | 1.39 Bn | - | - |
API Access
Werner Enterprises Land & Improvements 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=land-and-improvements&ticker=WERN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "WERN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=WERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();