Top Ships (TOPS) Return on Sales [ROS] (2009 - 2014)
Top Ships (TOPS) recorded Return on Sales [ROS] of 43.57% in the year ended Dec 31, 2025.
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Analysis
Top Ships (TOPS) Return on Sales [ROS] (2009 - 2014) Analysis & Trends
Starting with the year ended Dec 31, 2009, Top Ships' Return on Sales [ROS] history includes 15 years.
- Annual Return on Sales [ROS] has a five-year change of +46.55 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Return on Sales [ROS] since the year ended Dec 31, 2013.
- Per Business Quant data, TOPS's Return on Sales [ROS] was 40.44% in the year ended Dec 31, 2022 (+14.18 pp) and 26.26% in the year ended Dec 31, 2021 (+29.24 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Top Ships | 953,343.28 | 953,343.28 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -60.97% |
| Sep 30, 2014 | 0.27% |
| Jun 30, 2014 | 150.59% |
| Mar 31, 2014 | 14.70% |
| Dec 31, 2013 | 45.99% |
| Sep 30, 2013 | 56.54% |
| Jun 30, 2013 | 54.78% |
| Mar 31, 2013 | 62.46% |
| Jun 30, 2011 | -461.16% |
| Mar 31, 2011 | 5.69% |
| Dec 31, 2010 | 27.20% |
| Sep 30, 2010 | 28.19% |
| Jun 30, 2010 | 18.71% |
| Mar 31, 2010 | 23.60% |
| Dec 31, 2009 | -130.09% |
| Sep 30, 2009 | 26.53% |
| Jun 30, 2009 | -40.17% |
| Mar 31, 2009 | 7.91% |
API Access
Top Ships Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();