Diana Shipping (DSX) Total Debt (2009 - 2026)
Diana Shipping (DSX) recorded Total Debt of $88.67 million in the quarter ended Jun 30, 2026, up 95.8% from $45.29 million a year earlier but down 85.7% from the prior quarter.
Diana Shipping (DSX) Total Debt (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Diana Shipping reported Total Debt of $50.28 million, up 11.2% from the prior year.
- Annual Total Debt has a five-year compound annual growth rate of -34.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Debt came in at $45.23 million in the year ended Dec 31, 2024 (-8.6%), $49.51 million in the year ended Dec 31, 2023 (-90.5%), $522.51 million in the year ended Dec 31, 2022 (+23.3%) and $423.68 million in the year ended Dec 31, 2021 (+0.8%).
- Quarterly Total Debt has ranged from $45.23 million in the quarter ended Dec 31, 2024 to $657.37 million in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, Total Debt rose in two of the last six quarters, with growth averaging 1.1%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 95.8% in the quarter ended Jun 30, 2026, against a decline of 90.7% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $621.11 million (quarter ended Mar 31, 2026), $50.28 million (quarter ended Dec 31, 2025) and $651.11 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 30.33 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 18.86 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 18.18 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 24.48 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 16.62 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 25.71 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 15.05 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 20.00 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 67.07 Mn |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | 88.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.67 Mn |
| Mar 31, 2026 | 621.11 Mn |
| Dec 31, 2025 | 50.28 Mn |
| Sep 30, 2025 | 651.11 Mn |
| Jun 30, 2025 | 45.29 Mn |
| Mar 31, 2025 | 623.90 Mn |
| Dec 31, 2024 | 45.23 Mn |
| Jun 30, 2024 | 485.90 Mn |
| Mar 31, 2024 | 628.15 Mn |
| Dec 31, 2023 | 49.51 Mn |
| Sep 30, 2023 | 657.37 Mn |
| Jun 30, 2023 | 535.32 Mn |
| Mar 31, 2023 | 630.76 Mn |
| Dec 31, 2022 | 522.51 Mn |
| Sep 30, 2022 | 471.79 Mn |
| Jun 30, 2022 | 403.94 Mn |
| Mar 31, 2022 | 463.41 Mn |
| Dec 31, 2021 | 423.68 Mn |
| Sep 30, 2021 | 434.73 Mn |
| Jun 30, 2021 | 461.52 Mn |
Diana Shipping Total Debt 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-debt&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();