Diana Shipping (DSX) Cash from Operations (2009 - 2026)
Diana Shipping (DSX) reported Cash from Operations of $17.51 million for the quarter ended Jun 30, 2026, up 103.1% from $8.62 million a year earlier.
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Analysis
Diana Shipping (DSX) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Diana Shipping's Cash from Operations came in at $47.81 million, down 11.8% year-over-year; for the year ended Dec 31, 2025, it was $47.51 million, down 43.1% from the prior year.
- Cash from Operations has a five-year compound annual growth rate of 22.5% (years ended Dec 2020 to Dec 2025).
- By year, Cash from Operations came in at $83.53 million in the year ended Dec 31, 2024 (+18.7%), $70.38 million in the year ended Dec 31, 2023 (-55.7%), $158.86 million in the year ended Dec 31, 2022 (+77.1%) and $89.71 million in the year ended Dec 31, 2021 (+420.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Cash from Operations since the quarter ended Sep 30, 2024.
- Year over year, Cash from Operations gained in 1 of the last five quarters, with an average decline of 0.3%.
- The high point for year-over-year Cash from Operations in five years was the quarter ended Dec 31, 2021 (growth of 443.5%); the low point was the quarter ended Jun 30, 2023 (a decline of 55.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 3.08 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.33 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 859.00 Mn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 1.25 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 1.05 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 3.27 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 1.71 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 272.70 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.61 Bn |
| 10 | Diana Shipping | 278.36 Mn | -228.53 Mn | 53.87 Mn | 17.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.51 Mn |
| Dec 31, 2025 | 7.31 Mn |
| Sep 30, 2025 | 14.36 Mn |
| Jun 30, 2025 | 8.62 Mn |
| Dec 31, 2024 | 15.14 Mn |
| Sep 30, 2024 | 19.20 Mn |
| Jun 30, 2024 | 11.22 Mn |
| Dec 31, 2023 | -2.24 Mn |
| Sep 30, 2023 | 20.06 Mn |
| Jun 30, 2023 | 19.36 Mn |
| Dec 31, 2022 | 34.75 Mn |
| Sep 30, 2022 | 43.28 Mn |
| Jun 30, 2022 | 43.74 Mn |
| Dec 31, 2021 | 32.22 Mn |
| Sep 30, 2021 | 30.05 Mn |
| Jun 30, 2021 | 21.02 Mn |
| Dec 31, 2020 | 5.93 Mn |
| Sep 30, 2020 | -430,000.00 |
| Jun 30, 2020 | 4.45 Mn |
| Dec 31, 2019 | 5.41 Mn |
API Access
Diana Shipping Cash from Operations 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-from-operations&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();