Diana Shipping (DSX) Prepaid Assets (2009 - 2026)
Diana Shipping's Prepaid Assets came in at $8.67 million for the quarter ended Jun 30, 2026, down 12.6% from $9.92 million a year earlier and down 56.2% from the prior quarter.
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Analysis
Diana Shipping (DSX) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Diana Shipping's Prepaid Assets was $8.83 million, up 17.9% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 4.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $7.49 million in the year ended Dec 31, 2024 (-13.9%), $8.7 million in the year ended Dec 31, 2023 (+28.8%), $6.75 million in the year ended Dec 31, 2022 (+23.1%) and $5.48 million in the year ended Dec 31, 2021 (-24.3%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Prepaid Assets since the quarter ended Dec 31, 2024.
- Year-over-year, Prepaid Assets increased in four of the last eight quarters, with an average decline of 8.9%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Mar 31, 2024 (growth of 141.7%), and the weakest in the quarter ended Sep 30, 2021 (a decline of 58.4%).
- Business Quant data shows DSX's Prepaid Assets at $19.82 million (quarter ended Mar 31, 2026), $8.83 million (quarter ended Dec 31, 2025) and $25.82 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Diana Shipping | 319.57 Mn | 319.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.67 Mn |
| Mar 31, 2026 | 19.82 Mn |
| Dec 31, 2025 | 8.83 Mn |
| Sep 30, 2025 | 25.82 Mn |
| Jun 30, 2025 | 9.92 Mn |
| Mar 31, 2025 | 18.91 Mn |
| Dec 31, 2024 | 7.49 Mn |
| Sep 30, 2024 | 20.83 Mn |
| Jun 30, 2024 | 18.52 Mn |
| Mar 31, 2024 | 41.99 Mn |
| Dec 31, 2023 | 8.70 Mn |
| Sep 30, 2023 | 18.99 Mn |
| Jun 30, 2023 | 9.58 Mn |
| Mar 31, 2023 | 17.38 Mn |
| Dec 31, 2022 | 6.75 Mn |
| Sep 30, 2022 | 15.09 Mn |
| Jun 30, 2022 | 5.75 Mn |
| Mar 31, 2022 | 19.04 Mn |
| Dec 31, 2021 | 5.48 Mn |
| Sep 30, 2021 | 14.74 Mn |
API Access
Diana Shipping Prepaid Assets 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=prepaid-assets&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();