Diana Shipping (DSX) Depreciation and Depletion (2009 - 2013)
Diana Shipping (DSX) reported Depreciation and Depletion of $46.53 million for the year ended Dec 31, 2025, up 4.1% from $44.69 million a year earlier.
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Analysis
Diana Shipping (DSX) Depreciation and Depletion (2009 - 2013) Analysis & Trends
Dating back to the year ended Dec 31, 2009, Diana Shipping's Depreciation and Depletion record includes 17 years.
- Depreciation and Depletion has a five-year compound annual growth rate of 1.6% (years ended Dec 2020 to Dec 2025).
- Five-year annual Depreciation and Depletion spans a low of $40.49 million in the year ended Dec 31, 2021 and a high of $49.79 million in the year ended Dec 31, 2023.
- According to Business Quant data, Depreciation and Depletion came in at $44.69 million in the year ended Dec 31, 2024 (-10.2%), $49.79 million in the year ended Dec 31, 2023 (+14.9%), $43.33 million in the year ended Dec 31, 2022 (+7.0%) and $40.49 million in the year ended Dec 31, 2021 (-5.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 638.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 484.82 Mn |
| 10 | Diana Shipping | 319.57 Mn | 319.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 16.88 Mn |
| Dec 31, 2012 | 16.10 Mn |
| Mar 31, 2009 | 10.84 Mn |
API Access
Diana Shipping Depreciation and Depletion 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=depreciation-and-depletion&ticker=DSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();