Top Ships (TOPS) Pension (2017 - 2018)
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Analysis
Top Ships (TOPS) Pension (2017 - 2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.71 Bn | 165.24 Bn | - |
| 2 | Csx | 89.33 Bn | 85.54 Bn | - |
| 3 | United Parcel Service | 84.12 Bn | 61.02 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.22 Bn | 76.24 Bn | - |
| 5 | Norfolk Southern | 73.17 Bn | 67.82 Bn | - |
| 6 | Fedex | 71.16 Bn | 37.11 Bn | - |
| 7 | Delta Air Lines | 50.16 Bn | 32.35 Bn | - |
| 8 | Old Dominion Freight Line | 39.26 Bn | 38.52 Bn | - |
| 9 | United Airlines Holdings | 31.89 Bn | -24.48 Bn | - |
| 10 | Top Ships | 1.96 Mn | -47.46 Mn | - |
API Access
Top Ships Pension 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=pension&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "TOPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();