Danaos (DAC) Depreciation and Depletion (2009 - 2026)
Danaos' Depreciation and Depletion was $41.78 million in the quarter ended Jun 30, 2026, up 2.7% from $40.7 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Danaos (DAC) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Danaos' Depreciation and Depletion was $164.51 million through Jun 30, 2026, up 2.9% year-over-year; for the year ended Dec 31, 2024, it came in at $148.34 million, up 14.7% from the prior year.
- Depreciation and Depletion shows a five-year compound annual growth rate of 9.0% (years ended Dec 2019 to Dec 2024).
- In earlier years, Depreciation and Depletion was $129.29 million in the year ended Dec 31, 2023 (-3.7%), $134.27 million in the year ended Dec 31, 2022 (+14.8%), $116.92 million in the year ended Dec 31, 2021 (+15.2%) and $101.53 million in the year ended Dec 31, 2020 (+5.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Depreciation and Depletion in data going back to the quarter ended Sep 30, 2009.
- The best year-over-year quarter for Depreciation and Depletion over five years was the quarter ended Dec 31, 2021 (growth of 31.2%); the worst was the quarter ended Mar 31, 2023 (a decline of 5.5%).
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 | Danaos | 2.81 Bn | -1.05 Bn | 256.54 Mn | 41.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.78 Mn |
| Mar 31, 2026 | 40.86 Mn |
| Sep 30, 2025 | 41.18 Mn |
| Jun 30, 2025 | 40.70 Mn |
| Mar 31, 2025 | 40.03 Mn |
| Dec 31, 2024 | 40.38 Mn |
| Sep 30, 2024 | 38.73 Mn |
| Jun 30, 2024 | 35.38 Mn |
| Mar 31, 2024 | 33.86 Mn |
| Dec 31, 2023 | 33.52 Mn |
| Sep 30, 2023 | 32.33 Mn |
| Jun 30, 2023 | 31.91 Mn |
| Mar 31, 2023 | 31.53 Mn |
| Dec 31, 2022 | 33.02 Mn |
| Sep 30, 2022 | 34.14 Mn |
| Jun 30, 2022 | 33.75 Mn |
| Mar 31, 2022 | 33.36 Mn |
| Dec 31, 2021 | 34.01 Mn |
| Sep 30, 2021 | 31.01 Mn |
| Jun 30, 2021 | 26.10 Mn |
API Access
Danaos 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=DAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DAC", "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=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();