Diana Shipping (DSX) Return on Sales [ROS] (2016 - 2022)
Diana Shipping's Return on Sales [ROS] came in at 19.76% for the year ended Dec 31, 2025, down 6.00 percentage points from 25.76% a year earlier.
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Analysis
Diana Shipping (DSX) Return on Sales [ROS] (2016 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2011, Diana Shipping's Return on Sales [ROS] data covers 15 years.
- Return on Sales [ROS] has declined in each of the last three years, though with a five-year change of +86.14 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the lowest annual Return on Sales [ROS] since the year ended Dec 31, 2020.
- Per Business Quant, earlier years put Return on Sales [ROS] at 25.76% in the year ended Dec 31, 2024 (-6.95 pp), 32.70% in the year ended Dec 31, 2023 (-16.51 pp), 49.21% in the year ended Dec 31, 2022 (+19.56 pp) and 29.65% in the year ended Dec 31, 2021 (+96.04 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 40.25% |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 4.07% |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 32.44% |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 6.20% |
| 10 | Diana Shipping | 326.52 Mn | 326.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 54.22% |
| Mar 31, 2022 | 47.11% |
| Jun 30, 2021 | 16.47% |
| Mar 31, 2021 | 8.34% |
| Dec 31, 2019 | -43.32% |
| Mar 31, 2018 | 63.36% |
| Dec 31, 2017 | -6,382.98% |
| Dec 31, 2016 | -303.24% |
API Access
Diana Shipping 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=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DSX", "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=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();