Danaos (DAC) Change in Accured Expenses (2009 - 2026)
Danaos (DAC) recorded Change in Accured Expenses of $11.82 million in the quarter ended Jun 30, 2026, up 118.6% from $5.41 million a year earlier.
Danaos (DAC) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Danaos' Change in Accured Expenses came in at $10.46 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $5.13 million, up 61.0% from the prior year.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 16.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Change in Accured Expenses came in at $3.19 million in the year ended Dec 31, 2024, $236,000 in the year ended Dec 31, 2023 (-15.7%), $280,000 in the year ended Dec 31, 2022 (-96.8%) and $8.79 million in the year ended Dec 31, 2021 (+261.2%).
- Quarterly Change in Accured Expenses has ranged from -$7.98 million in the quarter ended Sep 30, 2024 to $12.54 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last four quarters, with growth averaging 59.8%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 673.8% in the quarter ended Dec 31, 2023, against a decline of 93.4% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$6.75 million (quarter ended Mar 31, 2026), $12.54 million (quarter ended Dec 31, 2025) and -$7.15 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 187.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 147.00 Mn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Danaos | 2.95 Bn | -910.05 Mn | 256.54 Mn | 11.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.82 Mn |
| Mar 31, 2026 | -6.75 Mn |
| Dec 31, 2025 | 12.54 Mn |
| Sep 30, 2025 | -7.15 Mn |
| Jun 30, 2025 | 5.41 Mn |
| Mar 31, 2025 | -5.67 Mn |
| Dec 31, 2024 | 6.99 Mn |
| Sep 30, 2024 | -7.98 Mn |
| Jun 30, 2024 | 9.66 Mn |
| Mar 31, 2024 | -5.48 Mn |
| Dec 31, 2023 | 3.78 Mn |
| Sep 30, 2023 | -5.23 Mn |
| Jun 30, 2023 | 5.74 Mn |
| Mar 31, 2023 | -4.05 Mn |
| Dec 31, 2022 | 488,000.00 |
| Sep 30, 2022 | -6.11 Mn |
| Jun 30, 2022 | 3.05 Mn |
| Mar 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | 7.39 Mn |
| Sep 30, 2021 | -7.52 Mn |
Danaos Change in Accured 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=change-in-accured-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();