Top Ships (TOPS) EBITDA Margin (2009 - 2014)
Top Ships (TOPS) recorded EBITDA Margin of 0.00% in the year ended Dec 31, 2025.
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Analysis
Top Ships (TOPS) EBITDA Margin (2009 - 2014) Analysis & Trends
Starting with the year ended Dec 31, 2009, Top Ships' EBITDA Margin history includes 15 years.
- Annual EBITDA Margin has a five-year change of -29.37 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual EBITDA Margin since the year ended Dec 31, 2022.
- Per Business Quant data, TOPS's EBITDA Margin was 60.05% in the year ended Dec 31, 2022 (+18.69 pp) and 41.36% in the year ended Dec 31, 2021 (+11.98 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.01 Bn | 168.25 Bn | - | 49.83% |
| 2 | Csx | 93.62 Bn | 88.85 Bn | - | 49.37% |
| 3 | United Parcel Service | 92.85 Bn | 69.67 Bn | - | 11.85% |
| 4 | Canadian Pacific Kansas City | 82.31 Bn | 81.35 Bn | - | 47.78% |
| 5 | Fedex | 74.59 Bn | 40.78 Bn | - | 10.71% |
| 6 | Norfolk Southern | 72.94 Bn | 67.40 Bn | - | 42.91% |
| 7 | Delta Air Lines | 59.87 Bn | 42.05 Bn | - | 10.54% |
| 8 | United Airlines Holdings | 39.08 Bn | -18.61 Bn | - | 12.44% |
| 9 | Old Dominion Freight Line | 34.91 Bn | 33.76 Bn | - | 34.14% |
| 10 | Top Ships | 15.87 Mn | -33.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -35.49% |
| Sep 30, 2014 | 27.02% |
| Jun 30, 2014 | 191.18% |
| Mar 31, 2014 | 21.16% |
| Sep 30, 2013 | 92.84% |
| Jun 30, 2013 | 95.61% |
| Mar 31, 2013 | 98.29% |
| Dec 31, 2009 | -99.02% |
| Sep 30, 2009 | 66.62% |
| Jun 30, 2009 | -36.27% |
| Mar 31, 2009 | 52.86% |
API Access
Top Ships EBITDA Margin 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-margin&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();