Danaos (DAC) Other Accumulated Expenses (2009 - 2026)
Danaos (DAC) recorded Other Accumulated Expenses of $33.41 million in the quarter ended Jun 30, 2026, up 36.1% from $24.56 million a year earlier and up 6.2% from the prior quarter.
Danaos (DAC) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Danaos reported Other Accumulated Expenses of $35.99 million, up 14.7% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 143.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $31.39 million in the year ended Dec 31, 2024 (-21.1%), $39.76 million in the year ended Dec 31, 2023 (+142.1%), $16.42 million in the year ended Dec 31, 2022 (+90.0%) and $8.65 million in the year ended Dec 31, 2021.
- Quarterly Other Accumulated Expenses has ranged from $8.65 million in the quarter ended Dec 31, 2021 to $39.76 million in the quarter ended Dec 31, 2023 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 142.1% in the quarter ended Dec 31, 2023, against a decline of 23.7% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.47 million (quarter ended Mar 31, 2026), $35.99 million (quarter ended Dec 31, 2025) and $29.21 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Danaos | 3.01 Bn | -850.14 Mn | 256.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.41 Mn |
| Mar 31, 2026 | 31.47 Mn |
| Dec 31, 2025 | 35.99 Mn |
| Sep 30, 2025 | 29.21 Mn |
| Jun 30, 2025 | 24.56 Mn |
| Mar 31, 2025 | 27.68 Mn |
| Dec 31, 2024 | 31.39 Mn |
| Sep 30, 2024 | 28.56 Mn |
| Jun 30, 2024 | 22.86 Mn |
| Mar 31, 2024 | 32.05 Mn |
| Dec 31, 2023 | 39.76 Mn |
| Sep 30, 2023 | 37.42 Mn |
| Jun 30, 2023 | 28.22 Mn |
| Mar 31, 2023 | 19.58 Mn |
| Dec 31, 2022 | 16.42 Mn |
| Sep 30, 2022 | 16.31 Mn |
| Jun 30, 2022 | 18.88 Mn |
| Mar 31, 2022 | 19.10 Mn |
| Dec 31, 2021 | 8.65 Mn |
| Sep 30, 2021 | 11.20 Mn |
Danaos Other 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=other-accumulated-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();