Diana Shipping (DSX) Total Liabilities (2009 - 2026)
Diana Shipping's Total Liabilities was $643.95 million in the quarter ended Jun 30, 2026, up 0.9% from $638.37 million a year earlier but down 2.3% from the prior quarter.
Diana Shipping (DSX) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Diana Shipping came in at $667.78 million, up 0.3% from the prior year.
- Total Liabilities shows a five-year compound annual growth rate of 8.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $665.96 million in the year ended Dec 31, 2024 (-1.7%), $677.39 million in the year ended Dec 31, 2023 (-2.6%), $695.59 million in the year ended Dec 31, 2022 (+55.0%) and $448.76 million in the year ended Dec 31, 2021 (+1.1%).
- Quarterly Total Liabilities has moved between $448.76 million (the quarter ended Dec 31, 2021) and $716.5 million (the quarter ended Jun 30, 2023) over five years.
- Compared with a year earlier, Total Liabilities was higher in two of the last six quarters, with an average decline of 0.6%.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Dec 31, 2022 (growth of 55.0%); the worst was the quarter ended Jun 30, 2024 (a decline of 9.5%).
- Per Business Quant data, DSX's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $658.9 million (quarter ended Mar 31, 2026), $667.78 million (quarter ended Dec 31, 2025) and $684.13 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | 643.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 643.95 Mn |
| Mar 31, 2026 | 658.90 Mn |
| Dec 31, 2025 | 667.78 Mn |
| Sep 30, 2025 | 684.13 Mn |
| Jun 30, 2025 | 638.37 Mn |
| Mar 31, 2025 | 658.84 Mn |
| Dec 31, 2024 | 665.96 Mn |
| Jun 30, 2024 | 648.64 Mn |
| Mar 31, 2024 | 666.98 Mn |
| Dec 31, 2023 | 677.39 Mn |
| Sep 30, 2023 | 687.90 Mn |
| Jun 30, 2023 | 716.50 Mn |
| Mar 31, 2023 | 673.66 Mn |
| Dec 31, 2022 | 695.59 Mn |
| Sep 30, 2022 | 507.37 Mn |
| Jun 30, 2022 | 486.81 Mn |
| Mar 31, 2022 | 495.40 Mn |
| Dec 31, 2021 | 448.76 Mn |
| Sep 30, 2021 | 462.91 Mn |
| Jun 30, 2021 | 483.90 Mn |
Diana Shipping Total Liabilities 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=total-liabilities&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();