Diana Shipping (DSX) Cost of Revenue (2009 - 2026)
Diana Shipping's Cost of Revenue was $3.41 million in the quarter ended Jun 30, 2026, up 9.6% from $3.11 million a year earlier and up 11.2% from the prior quarter.
Diana Shipping (DSX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Diana Shipping's Cost of Revenue was $12.84 million through Jun 30, 2026, down 3.2% year-over-year; for the year ended Dec 31, 2025, it was $12.42 million, down 8.7% from the prior year.
- Cost of Revenue shows a five-year compound annual growth rate of -1.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Cost of Revenue was $13.61 million in the year ended Dec 31, 2024 (-0.1%), $13.62 million in the year ended Dec 31, 2023 (+96.2%), $6.94 million in the year ended Dec 31, 2022 (+24.6%) and $5.57 million in the year ended Dec 31, 2021 (-58.8%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Cost of Revenue since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Cost of Revenue was higher in four of the last eight quarters, with growth averaging 1.3%.
- The best year-over-year quarter for Cost of Revenue over five years was the quarter ended Sep 30, 2022 (growth of 406.9%); the worst was the quarter ended Sep 30, 2021 (a decline of 77.0%).
- Per Business Quant data, DSX's Cost of Revenue in the three quarters before the quarter ended Jun 30, 2026 was $3.07 million (quarter ended Mar 31, 2026), $3.12 million (quarter ended Dec 31, 2025) and $3.23 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | - |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | - |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | - |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | - |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | - |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | - |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | - |
| 10 | Diana Shipping | 294.10 Mn | -212.79 Mn | 53.87 Mn | 3.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.41 Mn |
| Mar 31, 2026 | 3.07 Mn |
| Dec 31, 2025 | 3.12 Mn |
| Sep 30, 2025 | 3.23 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 2.95 Mn |
| Dec 31, 2024 | 3.54 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | 3.15 Mn |
| Mar 31, 2024 | 3.27 Mn |
| Dec 31, 2023 | 3.33 Mn |
| Sep 30, 2023 | 2.93 Mn |
| Jun 30, 2023 | 3.55 Mn |
| Mar 31, 2023 | 3.81 Mn |
| Dec 31, 2022 | 2.85 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 1.05 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 821,000.00 |
| Sep 30, 2021 | 677,000.00 |
Diana Shipping Cost of Revenue 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=cost-of-revenue&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();