Diana Shipping (DSX) EBT (2009 - 2026)
Diana Shipping (DSX) reported EBT of $24.43 million for the quarter ended Jun 30, 2026, up 5.5% from $23.15 million a year earlier but down 2.5% from the prior quarter.
Diana Shipping (DSX) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Diana Shipping's EBT came in at $92.43 million, down 15.5% year-over-year; for the year ended Dec 31, 2025, it was $92.65 million, down 19.2% from the prior year.
- EBT has declined for three consecutive years.
- By year, EBT came in at $114.62 million in the year ended Dec 31, 2024 (-20.0%), $143.21 million in the year ended Dec 31, 2023 (-17.1%), $172.85 million in the year ended Dec 31, 2022 (+105.9%) and $83.93 million in the year ended Dec 31, 2021.
- Five-year quarterly EBT spans a low of $19.35 million in the quarter ended Dec 31, 2025 and a high of $46.78 million in the quarter ended Jun 30, 2022.
- Year over year, EBT gained in 1 of the last eight quarters, with an average decline of 11.0%.
- The high point for year-over-year EBT in five years was the quarter ended Mar 31, 2022 (growth of 351.6%); the low point was the quarter ended Mar 31, 2024 (a decline of 36.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $25.06 million (quarter ended Mar 31, 2026), $19.35 million (quarter ended Dec 31, 2025) and $23.59 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 2.73 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 1.57 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.38 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 974.36 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 2.11 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 987.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 1.07 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 1.31 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 455.02 Mn |
| 10 | Diana Shipping | 259.58 Mn | -247.31 Mn | 53.87 Mn | 24.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.43 Mn |
| Mar 31, 2026 | 25.06 Mn |
| Dec 31, 2025 | 19.35 Mn |
| Sep 30, 2025 | 23.59 Mn |
| Jun 30, 2025 | 23.15 Mn |
| Mar 31, 2025 | 26.55 Mn |
| Dec 31, 2024 | 28.49 Mn |
| Sep 30, 2024 | 31.14 Mn |
| Jun 30, 2024 | 25.79 Mn |
| Mar 31, 2024 | 29.20 Mn |
| Dec 31, 2023 | 30.64 Mn |
| Sep 30, 2023 | 32.91 Mn |
| Jun 30, 2023 | 33.61 Mn |
| Mar 31, 2023 | 46.05 Mn |
| Dec 31, 2022 | 44.72 Mn |
| Sep 30, 2022 | 44.84 Mn |
| Jun 30, 2022 | 46.78 Mn |
| Mar 31, 2022 | 36.52 Mn |
| Dec 31, 2021 | 36.38 Mn |
| Sep 30, 2021 | 26.99 Mn |
Diana Shipping EBT 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=ebt&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();