Diana Shipping (DSX) Total Current Liabilities (2009 - 2026)
Diana Shipping (DSX) posted Total Current Liabilities of $135.14 million for the quarter ended Jun 30, 2026, up 68.1% from $80.37 million a year earlier.
Diana Shipping (DSX) Total Current Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Diana Shipping's Total Current Liabilities came in at $89.58 million, up 11.7% from the prior year.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 7.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Diana Shipping's Total Current Liabilities was $80.18 million in the year ended Dec 31, 2024 (-5.8%), $85.13 million in the year ended Dec 31, 2023 (-35.3%), $131.57 million in the year ended Dec 31, 2022 (+102.0%) and $65.13 million in the year ended Dec 31, 2021 (+5.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Total Current Liabilities since the quarter ended Jun 30, 2010.
- On a year-over-year basis, Total Current Liabilities increased in two of the last four quarters, with growth averaging 18.3%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was the quarter ended Dec 31, 2022, with growth of 102.0%; the weakest was the quarter ended Dec 31, 2023, with a decline of 35.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 5.61 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.37 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | 135.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.14 Mn |
| Dec 31, 2025 | 89.58 Mn |
| Jun 30, 2025 | 80.37 Mn |
| Dec 31, 2024 | 80.18 Mn |
| Jun 30, 2024 | 80.98 Mn |
| Dec 31, 2023 | 85.13 Mn |
| Jun 30, 2023 | 102.05 Mn |
| Dec 31, 2022 | 131.57 Mn |
| Jun 30, 2022 | 81.83 Mn |
| Dec 31, 2021 | 65.13 Mn |
| Jun 30, 2021 | 62.30 Mn |
| Dec 31, 2020 | 61.59 Mn |
| Dec 31, 2019 | 65.48 Mn |
| Dec 31, 2018 | 125.16 Mn |
| Dec 31, 2017 | 80.44 Mn |
| Dec 31, 2016 | 78.23 Mn |
| Dec 31, 2015 | 58.89 Mn |
| Dec 31, 2014 | 98.09 Mn |
| Dec 31, 2013 | 62.30 Mn |
| Sep 30, 2013 | 61.48 Mn |
Diana Shipping Total Current Liabilities 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=total-current-liabilities&ticker=DSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();