Diana Shipping (DSX) EBITDA (2009 - 2026)
Diana Shipping (DSX) posted EBITDA of $24.26 million for the quarter ended Jun 30, 2026, up 10.2% from $22.02 million a year earlier and up 4.2% from the prior quarter.
Diana Shipping (DSX) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Diana Shipping was $89.4 million, down 11.2% year-over-year; for the year ended Dec 31, 2025, it came in at $90.85 million, down 14.2% from the prior year.
- Annual EBITDA has declined for three consecutive years.
- In prior years, Diana Shipping's EBITDA was $105.84 million in the year ended Dec 31, 2024 (-23.4%), $138.12 million in the year ended Dec 31, 2023 (-26.7%), $188.31 million in the year ended Dec 31, 2022 (+77.9%) and $105.88 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBITDA since the quarter ended Mar 31, 2025.
- On a year-over-year basis, EBITDA increased in 1 of the last eight quarters, with an average decline of 7.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Dec 31, 2021, with growth of 402.9%; the weakest was the quarter ended Mar 31, 2024, with a decline of 42.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $23.3 million (quarter ended Mar 31, 2026), $19.3 million (quarter ended Dec 31, 2025) and $22.54 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | 24.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.26 Mn |
| Mar 31, 2026 | 23.30 Mn |
| Dec 31, 2025 | 19.30 Mn |
| Sep 30, 2025 | 22.54 Mn |
| Jun 30, 2025 | 22.02 Mn |
| Mar 31, 2025 | 24.85 Mn |
| Dec 31, 2024 | 25.88 Mn |
| Sep 30, 2024 | 27.92 Mn |
| Jun 30, 2024 | 23.16 Mn |
| Mar 31, 2024 | 26.51 Mn |
| Dec 31, 2023 | 27.37 Mn |
| Sep 30, 2023 | 29.39 Mn |
| Jun 30, 2023 | 32.86 Mn |
| Mar 31, 2023 | 45.88 Mn |
| Dec 31, 2022 | 45.66 Mn |
| Sep 30, 2022 | 48.43 Mn |
| Jun 30, 2022 | 51.07 Mn |
| Mar 31, 2022 | 40.86 Mn |
| Dec 31, 2021 | 41.16 Mn |
| Sep 30, 2021 | 31.54 Mn |
Diana Shipping EBITDA 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=ebitda&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();