Danaos (DAC) Accumulated Expenses (2009 - 2026)
Danaos (DAC) reported Accumulated Expenses of $33.96 million for the quarter ended Jun 30, 2026, up 45.2% from $23.39 million a year earlier and up 54.2% from the prior quarter.
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Analysis
Danaos (DAC) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Danaos posted Accumulated Expenses of $28.77 million, up 21.7% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of 21.3% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $23.64 million in the year ended Dec 31, 2024 (+15.6%), $20.46 million in the year ended Dec 31, 2023 (-4.2%), $21.36 million in the year ended Dec 31, 2022 (+2.5%) and $20.85 million in the year ended Dec 31, 2021 (+90.2%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Accumulated Expenses since the quarter ended Sep 30, 2013.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 14.5% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 90.2%); the low point was the quarter ended Mar 31, 2023 (a decline of 28.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $22.03 million (quarter ended Mar 31, 2026), $28.77 million (quarter ended Dec 31, 2025) and $16.24 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 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 | - |
| 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 |
| 10 | Danaos | 2.81 Bn | -1.05 Bn | 256.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.96 Mn |
| Mar 31, 2026 | 22.03 Mn |
| Dec 31, 2025 | 28.77 Mn |
| Sep 30, 2025 | 16.24 Mn |
| Jun 30, 2025 | 23.39 Mn |
| Mar 31, 2025 | 17.98 Mn |
| Dec 31, 2024 | 23.64 Mn |
| Sep 30, 2024 | 16.66 Mn |
| Jun 30, 2024 | 24.64 Mn |
| Mar 31, 2024 | 15.18 Mn |
| Dec 31, 2023 | 20.46 Mn |
| Sep 30, 2023 | 16.68 Mn |
| Jun 30, 2023 | 21.91 Mn |
| Mar 31, 2023 | 17.06 Mn |
| Dec 31, 2022 | 21.36 Mn |
| Sep 30, 2022 | 20.62 Mn |
| Jun 30, 2022 | 26.74 Mn |
| Mar 31, 2022 | 23.69 Mn |
| Dec 31, 2021 | 20.85 Mn |
| Sep 30, 2021 | 12.93 Mn |
API Access
Danaos Accumulated 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=accumulated-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();