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 | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Top Ships | 1.17 Mn | 1.17 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 325,000.00 |
| Mar 31, 2014 | 95,000.00 |
| Jun 30, 2013 | 6.47 Mn |
| Mar 31, 2013 | 7.06 Mn |
| Mar 31, 2009 | 9.05 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();