Top Ships (TOPS) EBITDA (2009 - 2014)
Top Ships' EBITDA came in at $2,000 for the year ended Dec 31, 2025, down 100.0% from $44.1 million a year earlier.
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Analysis
Top Ships (TOPS) EBITDA (2009 - 2014) Analysis & Trends
Going back to the year ended Dec 31, 2009, Top Ships' EBITDA data covers 17 years.
- EBITDA has declined in each of the last three years, with a five-year compound annual growth rate of -83.8% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the lowest annual EBITDA since the year ended Dec 31, 2018.
- Per Business Quant, earlier years put EBITDA at $44.1 million in the year ended Dec 31, 2024 (-7.7%), $47.8 million in the year ended Dec 31, 2023 (-1.3%), $48.43 million in the year ended Dec 31, 2022 (+107.8%) and $23.31 million in the year ended Dec 31, 2021 (+31.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.40 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 1.86 Bn |
| 10 | Top Ships | 1.93 Mn | -47.48 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -532,000.00 |
| Sep 30, 2014 | 401,000.00 |
| Jun 30, 2014 | 325,000.00 |
| Mar 31, 2014 | 95,000.00 |
| Dec 31, 2013 | -3.61 Mn |
| Sep 30, 2013 | 6.08 Mn |
| Jun 30, 2013 | 6.47 Mn |
| Mar 31, 2013 | 7.35 Mn |
| Jun 30, 2009 | -10.39 Mn |
| Mar 31, 2009 | 8.25 Mn |
API Access
Top Ships EBITDA 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=ebitda&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();