Diana Shipping (DSX) Price to Sales (2009 - 2026)
Diana Shipping's (DSX) Price to Sales stood at 0.90 in the year ended Dec 31, 2025, down 16.3% from 1.08 a year earlier.
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Analysis
Diana Shipping (DSX) Price to Sales (2009 - 2026) Analysis & Trends
Starting with the year ended Dec 31, 2011, Diana Shipping's Price to Sales history includes 15 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Price to Sales since the year ended Dec 31, 2020.
- Per Business Quant data, DSX's Price to Sales was 1.08 in the year ended Dec 31, 2024 (-16.1%), 1.28 in the year ended Dec 31, 2023 (+19.0%), 1.08 in the year ended Dec 31, 2022 (-30.0%) and 1.54 in the year ended Dec 31, 2021 (+73.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Diana Shipping | 259.58 Mn | -247.31 Mn | 53.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 |
| Mar 31, 2026 | 1.36 |
| Dec 31, 2025 | 0.90 |
| Sep 30, 2025 | 0.96 |
| Jun 30, 2025 | 0.82 |
| Mar 31, 2025 | 0.87 |
| Dec 31, 2024 | 1.08 |
| Sep 30, 2024 | 1.26 |
| Jun 30, 2024 | 1.37 |
| Mar 31, 2024 | 1.32 |
| Dec 31, 2023 | 1.28 |
| Sep 30, 2023 | 1.28 |
| Jun 30, 2023 | 1.31 |
| Mar 31, 2023 | 1.35 |
| Dec 31, 2022 | 1.38 |
| Sep 30, 2022 | 1.08 |
| Jun 30, 2022 | 1.52 |
| Mar 31, 2022 | 1.91 |
| Dec 31, 2021 | 1.54 |
| Sep 30, 2021 | 2.38 |
API Access
Diana Shipping Price to Sales 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=price-to-sales&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();