Diana Shipping (DSX) Change in Inventory (2009 - 2013)
Diana Shipping's Change in Inventory came in at $56,000 for the year ended Dec 31, 2025, down 93.5% from $863,000 a year earlier.
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Analysis
Diana Shipping (DSX) Change in Inventory (2009 - 2013) Analysis & Trends
Going back to the year ended Dec 31, 2009, Diana Shipping's Change in Inventory data covers 17 years.
- Change in Inventory carries a five-year compound annual growth rate of -41.4% (years ended Dec 2020 to Dec 2025).
- The five-year range for annual Change in Inventory is -$1.58 million (the year ended Dec 31, 2021) to $1.77 million (the year ended Dec 31, 2022).
- Per Business Quant, earlier years put Change in Inventory at $863,000 in the year ended Dec 31, 2024, -$511,000 in the year ended Dec 31, 2023, $1.77 million in the year ended Dec 31, 2022 and -$1.58 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 81.00 Mn |
| 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 | - | 15.00 Mn |
| 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 | 232,472.37 |
| 10 | Diana Shipping | 325.36 Mn | 325.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | -451,000.00 |
| Dec 31, 2012 | 43,000.00 |
| Mar 31, 2009 | 371,000.00 |
API Access
Diana Shipping Change in Inventory 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-inventory&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();