Diana Shipping (DSX) Cash & Equivalents (2009 - 2026)
Diana Shipping (DSX) recorded Cash & Equivalents of $48.68 million in the quarter ended Jun 30, 2026, down 41.8% from $83.6 million a year earlier and down 60.9% from the prior quarter.
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Analysis
Diana Shipping (DSX) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Diana Shipping reported Cash & Equivalents of $50.51 million, down 59.5% from the prior year.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -4.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Cash & Equivalents came in at $124.67 million in the year ended Dec 31, 2024 (+2.5%), $121.59 million in the year ended Dec 31, 2023 (+59.1%), $76.43 million in the year ended Dec 31, 2022 (-30.7%) and $110.29 million in the year ended Dec 31, 2021 (+75.3%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Cash & Equivalents since the quarter ended Dec 31, 2017.
- On a year-over-year basis, Cash & Equivalents rose in 1 of the last four quarters, with an average decline of 27.2%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 75.3% in the quarter ended Dec 31, 2021, against a decline of 59.5% in the quarter ended Dec 31, 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 2.21 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 1.22 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 257.58 Mn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 4.65 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 1.60 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 6.65 Bn |
| 10 | Diana Shipping | 294.10 Mn | -212.79 Mn | 53.87 Mn | 48.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.68 Mn |
| Mar 31, 2026 | 124.49 Mn |
| Dec 31, 2025 | 50.51 Mn |
| Sep 30, 2025 | 9.79 Mn |
| Jun 30, 2025 | 65.10 Mn |
| Mar 31, 2025 | 187.65 Mn |
| Dec 31, 2024 | 124.67 Mn |
| Sep 30, 2024 | 186.81 Mn |
| Jun 30, 2024 | 100.54 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 101.59 Mn |
| Sep 30, 2023 | 173.55 Mn |
| Jun 30, 2023 | 123.12 Mn |
| Mar 31, 2023 | 115.68 Mn |
| Dec 31, 2022 | 76.43 Mn |
| Sep 30, 2022 | 129.68 Mn |
| Jun 30, 2022 | 112.84 Mn |
| Mar 31, 2022 | 115.68 Mn |
| Dec 31, 2021 | 110.29 Mn |
| Sep 30, 2021 | 146.25 Mn |
API Access
Diana Shipping Cash & Equivalents 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=cash-and-equivalents&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();