United Maritime (USEA) Intangibles (2023)
Powered by 
Analysis
United Maritime (USEA) Intangibles (2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.01 Bn | 165.54 Bn | - | - |
| 2 | Csx | 89.36 Bn | 85.57 Bn | - | - |
| 3 | United Parcel Service | 84.03 Bn | 60.92 Bn | - | 3.95 Bn |
| 4 | Canadian Pacific Kansas City | 77.35 Bn | 76.37 Bn | - | 2.09 Bn |
| 5 | Norfolk Southern | 73.29 Bn | 67.93 Bn | - | - |
| 6 | Fedex | 71.17 Bn | 37.11 Bn | - | - |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 5.96 Bn |
| 8 | Old Dominion Freight Line | 39.20 Bn | 38.47 Bn | - | - |
| 9 | United Airlines Holdings | 31.77 Bn | -24.60 Bn | - | 2.65 Bn |
| 10 | United Maritime | 21.47 Mn | -34.63 Mn | 6.51 Mn | - |
API Access
United Maritime Intangibles 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=intangibles&ticker=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "USEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();