Nordic American Tankers (NAT) Return on Sales [ROS] (2009 - 2018)
Nordic American Tankers (NAT) posted Return on Sales [ROS] of 15.89% for FY2025, down 6.22 percentage points from 22.11% in FY2024.
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Analysis
Nordic American Tankers (NAT) Return on Sales [ROS] (2009 - 2018) Analysis & Trends
Since FY2009, Nordic American Tankers has reported Return on Sales [ROS] for 16 years.
- Annual Return on Sales [ROS] shows a five-year change of -7.02 percentage points (FY2020 to FY2025).
- The FY2025 figure stands as the lowest annual Return on Sales [ROS] since FY2022.
- Business Quant data shows NAT's Return on Sales [ROS] at 22.11% in FY2024 (-10.55 pp), 32.65% in FY2023 (+20.31 pp), 12.34% in FY2022 (+87.94 pp) and -75.61% in FY2021 (-98.51 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 | Nordic American Tankers | 1.78 Bn | 1.45 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 6.27% |
| Sep 30, 2018 | -24.41% |
| Dec 31, 2017 | -197.82% |
| Dec 31, 2016 | 5.13% |
| Sep 30, 2016 | -2.84% |
| Dec 31, 2013 | -0.39% |
| Sep 30, 2013 | -25.33% |
| Dec 31, 2012 | -67.78% |
| Sep 30, 2012 | -108.41% |
| Dec 31, 2011 | -72.93% |
| Dec 31, 2010 | -60.85% |
| Mar 31, 2009 | 38.84% |
API Access
Nordic American Tankers 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=NAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NAT", "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=NAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();