Danaos (DAC) Other Operating Expenses (2009 - 2026)
Danaos (DAC) recorded Other Operating Expenses of -$46,000 in the quarter ended Jun 30, 2026, compared with -$4.48 million a year earlier.
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Analysis
Danaos (DAC) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Danaos' Other Operating Expenses came in at $28.4 million as of Jun 30, 2026, up 130.2% year-over-year; for the year ended Dec 31, 2025, it was $19 million, up 12.8% from the prior year.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -1.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Operating Expenses came in at $16.85 million in the year ended Dec 31, 2024 (+58.1%), $10.65 million in the year ended Dec 31, 2023 (-57.6%), $25.11 million in the year ended Dec 31, 2022 (+9.2%) and $23 million in the year ended Dec 31, 2021 (+13.8%).
- Quarterly Other Operating Expenses has ranged from -$4.48 million in the quarter ended Jun 30, 2025 to $21.42 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in three of the last four quarters, with growth averaging 224.0%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 906.4% in the quarter ended Mar 31, 2026, against a decline of 71.8% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.52 million (quarter ended Mar 31, 2026), $21.42 million (quarter ended Dec 31, 2025) and $1.51 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 | -46,000.00 |
| Mar 31, 2026 | 5.52 Mn |
| Dec 31, 2025 | 21.42 Mn |
| Sep 30, 2025 | 1.51 Mn |
| Jun 30, 2025 | -4.48 Mn |
| Mar 31, 2025 | 548,000.00 |
| Dec 31, 2024 | 16.43 Mn |
| Sep 30, 2024 | -162,000.00 |
| Jun 30, 2024 | -413,000.00 |
| Mar 31, 2024 | 993,000.00 |
| Dec 31, 2023 | 15.78 Mn |
| Sep 30, 2023 | -99,000.00 |
| Jun 30, 2023 | -2.76 Mn |
| Mar 31, 2023 | -2.27 Mn |
| Dec 31, 2022 | 7.87 Mn |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 310,000.00 |
| Mar 31, 2022 | 1.59 Mn |
| Dec 31, 2021 | 15.41 Mn |
| Sep 30, 2021 | 3.68 Mn |
API Access
Danaos Other Operating 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-operating-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();