Diana Shipping (DSX) Shares Outstanding (2009 - 2026)
Diana Shipping's Shares Outstanding came in at 110.46 million for the quarter ended Jun 30, 2026, down 4.7% from 115.96 million a year earlier and unchanged from the prior quarter.
Diana Shipping (DSX) Shares Outstanding (2009 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2009, Diana Shipping's Shares Outstanding data covers 66 quarters.
- Shares Outstanding carries a five-year compound annual growth rate of 5.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Shares Outstanding was 115.96 million in the year ended Dec 31, 2024 (+15.8%), 100.17 million in the year ended Dec 31, 2023 (+25.1%), 80.06 million in the year ended Dec 31, 2022 (-1.3%) and 81.12 million in the year ended Dec 31, 2021 (-5.8%).
- The five-year range for quarterly Shares Outstanding is 80.06 million (the quarter ended Dec 31, 2022) to 115.96 million (the quarter ended Sep 30, 2025).
- Year-over-year, Shares Outstanding has declined for three consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in the quarter ended Sep 30, 2024 (growth of 25.1%), and the weakest in the quarter ended Sep 30, 2021 (a decline of 9.5%).
- Business Quant data shows DSX's Shares Outstanding at 110.46 million (quarter ended Mar 31, 2026), 110.46 million (quarter ended Dec 31, 2025) and 115.96 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 593.40 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 886.40 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 224.60 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 654.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 207.66 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 527.75 Mn |
| 10 | Diana Shipping | 319.57 Mn | 319.57 Mn | - | 110.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.46 Mn |
| Mar 31, 2026 | 110.46 Mn |
| Dec 31, 2025 | 110.46 Mn |
| Sep 30, 2025 | 115.96 Mn |
| Jun 30, 2025 | 115.96 Mn |
| Mar 31, 2025 | 115.96 Mn |
| Dec 31, 2024 | 115.96 Mn |
| Sep 30, 2024 | 100.17 Mn |
| Jun 30, 2024 | 100.17 Mn |
| Mar 31, 2024 | 100.17 Mn |
| Dec 31, 2023 | 100.17 Mn |
| Sep 30, 2023 | 80.06 Mn |
| Jun 30, 2023 | 80.06 Mn |
| Mar 31, 2023 | 80.06 Mn |
| Dec 31, 2022 | 80.06 Mn |
| Sep 30, 2022 | 81.12 Mn |
| Jun 30, 2022 | 81.12 Mn |
| Mar 31, 2022 | 81.12 Mn |
| Dec 31, 2021 | 81.12 Mn |
| Sep 30, 2021 | 86.14 Mn |
Diana Shipping Shares Outstanding 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=shares-outstanding&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();