Diana Shipping (DSX) Accumulated Expenses (2009 - 2026)
Diana Shipping's Accumulated Expenses was $17.07 million in the quarter ended Jun 30, 2026, up 71.6% from $9.95 million a year earlier.
Diana Shipping (DSX) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Diana Shipping came in at $13.44 million, up 13.0% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of 5.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $11.9 million in the year ended Dec 31, 2024 (-4.2%), $12.42 million in the year ended Dec 31, 2023 (+2.3%), $12.13 million in the year ended Dec 31, 2022 (+54.0%) and $7.88 million in the year ended Dec 31, 2021 (-24.9%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Accumulated Expenses in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last four quarters, with growth averaging 18.2%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Jun 30, 2026 (growth of 71.6%); the worst was the quarter ended Dec 31, 2021 (a decline of 24.9%).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.07 Mn |
| Dec 31, 2025 | 13.44 Mn |
| Jun 30, 2025 | 9.95 Mn |
| Dec 31, 2024 | 11.90 Mn |
| Jun 30, 2024 | 10.77 Mn |
| Dec 31, 2023 | 12.42 Mn |
| Jun 30, 2023 | 11.38 Mn |
| Dec 31, 2022 | 12.13 Mn |
| Jun 30, 2022 | 10.91 Mn |
| Dec 31, 2021 | 7.88 Mn |
| Jun 30, 2021 | 7.51 Mn |
| Dec 31, 2020 | 10.49 Mn |
| Dec 31, 2019 | 11.27 Mn |
| Dec 31, 2018 | 13.38 Mn |
| Dec 31, 2017 | 8.25 Mn |
| Dec 31, 2016 | 5.73 Mn |
| Dec 31, 2015 | 6.45 Mn |
| Dec 31, 2014 | 6.01 Mn |
| Dec 31, 2013 | 4.81 Mn |
| Sep 30, 2013 | 4.43 Mn |
Diana Shipping Accumulated Expenses 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=accumulated-expenses&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();