Diana Shipping (DSX) Operating Margin (2016 - 2022)
Diana Shipping (DSX) recorded Operating Margin of 19.76% in the year ended Dec 31, 2025, down 6.00 percentage points from 25.76% a year earlier.
Diana Shipping (DSX) Operating Margin (2016 - 2022) Analysis & Trends
Starting with the year ended Dec 31, 2011, Diana Shipping's Operating Margin history includes 15 years.
- Annual Operating Margin has declined for three straight 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 is the lowest annual Operating Margin since the year ended Dec 31, 2020.
- Per Business Quant data, DSX's Operating Margin was 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 40.25% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 4.07% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 32.44% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.12% |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | - |
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% |
Diana Shipping Operating 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=operating-margin&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();