Diana Shipping (DSX) Change in Accrued Expenses (2009 - 2013)
Diana Shipping's Change in Accured Expenses came in at $1.55 million for the year ended Dec 31, 2025, compared with -$520,000 a year earlier.
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Analysis
Diana Shipping (DSX) Change in Accrued Expenses (2009 - 2013) Analysis & Trends
Going back to the year ended Dec 31, 2009, Diana Shipping's Change in Accured Expenses data covers 17 years.
- The figure for the year ended Dec 31, 2025 represents the highest annual Change in Accured Expenses since the year ended Dec 31, 2022.
- Per Business Quant, earlier years put Change in Accured Expenses at -$520,000 in the year ended Dec 31, 2024, $282,000 in the year ended Dec 31, 2023 (-92.9%), $3.96 million in the year ended Dec 31, 2022 and -$2.61 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | -30.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 247.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 1.21 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Diana Shipping | 259.58 Mn | -247.31 Mn | 53.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 380,000.00 |
| Dec 31, 2012 | 827,000.00 |
| Mar 31, 2009 | -1.44 Mn |
API Access
Diana Shipping Change in Accrued Expenses 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=change-in-accured-expenses&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();