Diana Shipping (DSX) EBIT (2009 - 2026)
Diana Shipping (DSX) posted EBIT of $12.1 million for the quarter ended Jun 30, 2026, up 16.1% from $10.42 million a year earlier and up 7.1% from the prior quarter.
Diana Shipping (DSX) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Diana Shipping was $41.56 million, down 24.8% year-over-year; for the year ended Dec 31, 2025, it was $42.19 million, down 28.2% from the prior year.
- Annual EBIT has declined for three consecutive years.
- In prior years, Diana Shipping's EBIT was $58.78 million in the year ended Dec 31, 2024 (-31.4%), $85.71 million in the year ended Dec 31, 2023 (-39.9%), $142.7 million in the year ended Dec 31, 2022 (+124.7%) and $63.52 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBIT since the quarter ended Mar 31, 2025.
- On a year-over-year basis, EBIT increased in 1 of the last eight quarters, with an average decline of 15.8%.
- The strongest year-over-year quarter for EBIT in the past five years was the quarter ended Mar 31, 2022, with growth of 807.2%; the weakest was the quarter ended Sep 30, 2023, with a decline of 53.0%.
- According to Business Quant data, EBIT for the three prior quarters was $11.3 million (quarter ended Mar 31, 2026), $7.26 million (quarter ended Dec 31, 2025) and $10.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.76 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.51 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.06 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 930.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 1.86 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 465.30 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 668.82 Mn |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | 12.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.10 Mn |
| Mar 31, 2026 | 11.30 Mn |
| Dec 31, 2025 | 7.26 Mn |
| Sep 30, 2025 | 10.90 Mn |
| Jun 30, 2025 | 10.42 Mn |
| Mar 31, 2025 | 13.61 Mn |
| Dec 31, 2024 | 14.51 Mn |
| Sep 30, 2024 | 16.71 Mn |
| Jun 30, 2024 | 12.16 Mn |
| Mar 31, 2024 | 15.41 Mn |
| Dec 31, 2023 | 15.87 Mn |
| Sep 30, 2023 | 17.77 Mn |
| Jun 30, 2023 | 19.45 Mn |
| Mar 31, 2023 | 32.62 Mn |
| Dec 31, 2022 | 33.44 Mn |
| Sep 30, 2022 | 37.79 Mn |
| Jun 30, 2022 | 40.41 Mn |
| Mar 31, 2022 | 31.06 Mn |
| Dec 31, 2021 | 31.07 Mn |
| Sep 30, 2021 | 21.28 Mn |
Diana Shipping EBIT 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=ebit&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();