Top Ships (TOPS) Net Margin (2009 - 2014)
Top Ships' Net Margin came in at 3.84% for the year ended Dec 31, 2025.
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Analysis
Top Ships (TOPS) Net Margin (2009 - 2014) Analysis & Trends
Going back to the year ended Dec 31, 2009, Top Ships' Net Margin data covers 15 years.
- Net Margin carries a five-year change of +0.93 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Net Margin since the year ended Dec 31, 2022.
- Per Business Quant, earlier years put Net Margin at 43.57% in the year ended Dec 31, 2022 (+33.99 pp) and 9.57% in the year ended Dec 31, 2021 (+6.67 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 29.04% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 25.46% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 24.59% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 2.65% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 21.18% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.39% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 8.12% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 22.56% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 12.26% |
| 10 | Top Ships | 1.17 Mn | 1.17 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 162.64% |
| Sep 30, 2014 | 58.83% |
| Jun 30, 2014 | -275.88% |
| Mar 31, 2014 | 12.03% |
| Sep 30, 2013 | 28.83% |
| Jun 30, 2013 | 26.02% |
| Mar 31, 2013 | 36.47% |
| Jun 30, 2011 | 489.09% |
| Mar 31, 2011 | -10.34% |
| Dec 31, 2010 | 10.33% |
| Sep 30, 2010 | 4.58% |
| Jun 30, 2010 | 8.14% |
| Mar 31, 2010 | 3.82% |
| Dec 31, 2009 | 147.33% |
| Sep 30, 2009 | 1.31% |
| Jun 30, 2009 | -55.70% |
| Mar 31, 2009 | 4.60% |
API Access
Top Ships Net 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=net-margin&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();