United Maritime (USEA) Other non-cash items (2024 - 2025)
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Analysis
United Maritime (USEA) Other non-cash items (2024 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - |
| 10 | United Maritime | 21.77 Mn | -34.34 Mn | 6.51 Mn |
API Access
United Maritime Other non-cash items 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=other-non-cash-items&ticker=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();