Diana Shipping (DSX) Enterprise Value (2009 - 2026)
Diana Shipping (DSX) reported Enterprise Value of $39.24 million for the quarter ended Jun 30, 2026, up 18.2% from $33.2 million a year earlier but down 76.2% from the prior quarter.
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Analysis
Diana Shipping (DSX) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Diana Shipping's Enterprise Value came in at -$345.27 million; for the year ended Dec 31, 2025, it was $69.95 million, up 83.0% from the prior year.
- Enterprise Value has a five-year compound annual growth rate of -4.5% (years ended Dec 2020 to Dec 2025).
- By year, Enterprise Value came in at $38.23 million in the year ended Dec 31, 2024 (-78.1%), $174.21 million in the year ended Dec 31, 2023 (+3.5%), $168.31 million in the year ended Dec 31, 2022 (-16.9%) and $202.59 million in the year ended Dec 31, 2021 (+130.3%).
- Five-year quarterly Enterprise Value spans a low of $7.66 million in the quarter ended Mar 31, 2025 and a high of $341.55 million in the quarter ended Mar 31, 2022.
- Year over year, Enterprise Value gained in three of the last seven quarters, with an average decline of 7.7%.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Mar 31, 2022 (growth of 131.0%); the low point was the quarter ended Mar 31, 2025 (a decline of 97.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $164.98 million (quarter ended Mar 31, 2026), $69.95 million (quarter ended Dec 31, 2025) and $210.34 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.24 Mn |
| Mar 31, 2026 | 164.98 Mn |
| Dec 31, 2025 | 69.95 Mn |
| Sep 30, 2025 | 210.34 Mn |
| Jun 30, 2025 | 33.20 Mn |
| Mar 31, 2025 | 7.66 Mn |
| Dec 31, 2024 | 38.23 Mn |
| Sep 30, 2024 | 103.77 Mn |
| Jun 30, 2024 | 183.33 Mn |
| Mar 31, 2024 | 326.76 Mn |
| Dec 31, 2023 | 174.21 Mn |
| Sep 30, 2023 | 104.26 Mn |
| Jun 30, 2023 | 97.81 Mn |
| Mar 31, 2023 | 196.56 Mn |
| Dec 31, 2022 | 168.31 Mn |
| Sep 30, 2022 | 175.99 Mn |
| Jun 30, 2022 | 275.24 Mn |
| Mar 31, 2022 | 341.55 Mn |
| Dec 31, 2021 | 202.59 Mn |
| Sep 30, 2021 | 301.02 Mn |
API Access
Diana Shipping Enterprise Value 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=enterprise-value&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();