Diana Shipping (DSX) Net Income (2009 - 2026)
Diana Shipping's Net Income was $20.3 million in the quarter ended Jun 30, 2026, up 161.9% from $7.75 million a year earlier but down 27.9% from the prior quarter.
Diana Shipping (DSX) Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Diana Shipping's Net Income was $75.11 million through Jun 30, 2026, up 74.9% year-over-year; for the year ended Dec 31, 2025, it was $92.65 million, down 19.2% from the prior year.
- In earlier years, Net Income was $114.62 million in the year ended Dec 31, 2024 (+129.7%), $49.9 million in the year ended Dec 31, 2023 (-58.1%), $119.06 million in the year ended Dec 31, 2022 (+107.4%) and $57.39 million in the year ended Dec 31, 2021.
- Quarterly Net Income has moved between -$2.76 million (the quarter ended Jun 30, 2024) and $41.14 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Net Income was higher in five of the last seven quarters, with growth averaging 180.5%.
- The best year-over-year quarter for Net Income over five years was the quarter ended Mar 31, 2026 (growth of 839.2%); the worst was the quarter ended Mar 31, 2024 (a decline of 90.9%).
- Per Business Quant data, DSX's Net Income in the three quarters before the quarter ended Jun 30, 2026 was $28.15 million (quarter ended Mar 31, 2026), $19.35 million (quarter ended Dec 31, 2025) and $7.31 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.31 Bn | 165.84 Bn | - | 1.99 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.00 Bn |
| 3 | United Parcel Service | 83.27 Bn | 60.16 Bn | - | 604.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.44 Bn | 76.46 Bn | - | 740.28 Mn |
| 5 | Norfolk Southern | 73.15 Bn | 67.79 Bn | - | 734.00 Mn |
| 6 | Fedex | 69.83 Bn | 35.78 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 49.00 Bn | 31.18 Bn | - | 756.00 Mn |
| 8 | Old Dominion Freight Line | 39.12 Bn | 38.38 Bn | - | 350.60 Mn |
| 9 | United Airlines Holdings | 31.13 Bn | -25.24 Bn | - | 805.00 Mn |
| 10 | Diana Shipping | 278.91 Mn | -227.98 Mn | 53.87 Mn | 20.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.30 Mn |
| Mar 31, 2026 | 28.15 Mn |
| Dec 31, 2025 | 19.35 Mn |
| Sep 30, 2025 | 7.31 Mn |
| Jun 30, 2025 | 7.75 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 28.49 Mn |
| Sep 30, 2024 | 3.72 Mn |
| Jun 30, 2024 | 25.79 Mn |
| Mar 31, 2024 | 29.20 Mn |
| Dec 31, 2023 | 9.44 Mn |
| Sep 30, 2023 | 32.91 Mn |
| Jun 30, 2023 | 10.36 Mn |
| Mar 31, 2023 | 46.05 Mn |
| Dec 31, 2022 | 25.86 Mn |
| Sep 30, 2022 | 31.73 Mn |
| Jun 30, 2022 | 35.61 Mn |
| Mar 31, 2022 | 36.52 Mn |
| Dec 31, 2021 | 36.38 Mn |
| Sep 30, 2021 | 14.73 Mn |
Diana Shipping Net Income 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=net-income&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();