Diana Shipping (DSX) Price to Earnings (2009 - 2026)
Diana Shipping's (DSX) Price to Earnings was 4.24 for the quarter ended Jun 30, 2026, down 58.0% from 10.10 a year earlier and down 39.8% from the prior quarter.
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Analysis
Diana Shipping (DSX) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Diana Shipping was 15.94, up 20.3% from the prior year.
- Price to Earnings has increased for three consecutive years.
- By year, Price to Earnings came in at 13.25 in the year ended Dec 31, 2024 (+74.0%), 7.62 in the year ended Dec 31, 2023 (+176.4%), 2.76 in the year ended Dec 31, 2022 (-56.8%) and 6.38 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Price to Earnings since the quarter ended Jun 30, 2023.
- Year over year, Price to Earnings has now declined in each of the last five quarters, with growth averaging 39.6% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was the quarter ended Jun 30, 2024 (growth of 477.4%); the low point was the quarter ended Sep 30, 2022 (a decline of 95.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 7.04 (quarter ended Mar 31, 2026), 10.78 (quarter ended Dec 31, 2025) and 9.76 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Diana Shipping | 319.57 Mn | 319.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.24 |
| Mar 31, 2026 | 7.04 |
| Dec 31, 2025 | 10.78 |
| Sep 30, 2025 | 9.76 |
| Jun 30, 2025 | 10.10 |
| Mar 31, 2025 | 14.27 |
| Dec 31, 2024 | 19.25 |
| Sep 30, 2024 | 23.45 |
| Jun 30, 2024 | 20.13 |
| Mar 31, 2024 | 12.42 |
| Dec 31, 2023 | 7.62 |
| Sep 30, 2023 | 4.60 |
| Jun 30, 2023 | 3.49 |
| Mar 31, 2023 | 2.84 |
| Dec 31, 2022 | 2.76 |
| Sep 30, 2022 | 2.37 |
| Jun 30, 2022 | 3.63 |
| Mar 31, 2022 | 5.59 |
| Dec 31, 2021 | 5.74 |
| Sep 30, 2021 | 50.69 |
API Access
Diana Shipping Price to Earnings 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=price-to-earnings&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();