Danaos (DAC) Cost of Revenue (2009 - 2026)
Danaos (DAC) reported Cost of Revenue of $17.83 million for the quarter ended Jun 30, 2026, up 6.1% from $16.81 million a year earlier and up 66.3% from the prior quarter.
Danaos (DAC) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Danaos' Cost of Revenue came in at $56.67 million, down 14.2% year-over-year; for the year ended Dec 31, 2025, it came in at $63.06 million, down 1.6% from the prior year.
- Cost of Revenue has a five-year compound annual growth rate of 34.6% (years ended Dec 2020 to Dec 2025).
- By year, Cost of Revenue came in at $64.1 million in the year ended Dec 31, 2024 (+56.3%), $41.01 million in the year ended Dec 31, 2023 (+16.7%), $35.15 million in the year ended Dec 31, 2022 (+44.5%) and $24.33 million in the year ended Dec 31, 2021 (+70.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Cost of Revenue since the quarter ended Mar 31, 2025.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with growth averaging 6.1%.
- The high point for year-over-year Cost of Revenue in five years was the quarter ended Mar 31, 2024 (growth of 158.0%); the low point was the quarter ended Mar 31, 2026 (a decline of 40.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $10.72 million (quarter ended Mar 31, 2026), $14.22 million (quarter ended Dec 31, 2025) and $13.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (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 | 17.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.83 Mn |
| Mar 31, 2026 | 10.72 Mn |
| Dec 31, 2025 | 14.22 Mn |
| Sep 30, 2025 | 13.90 Mn |
| Jun 30, 2025 | 16.81 Mn |
| Mar 31, 2025 | 18.14 Mn |
| Dec 31, 2024 | 14.08 Mn |
| Sep 30, 2024 | 17.00 Mn |
| Jun 30, 2024 | 12.68 Mn |
| Mar 31, 2024 | 20.34 Mn |
| Dec 31, 2023 | 15.77 Mn |
| Sep 30, 2023 | 8.96 Mn |
| Jun 30, 2023 | 8.40 Mn |
| Mar 31, 2023 | 7.88 Mn |
| Dec 31, 2022 | 8.19 Mn |
| Sep 30, 2022 | 10.32 Mn |
| Jun 30, 2022 | 9.44 Mn |
| Mar 31, 2022 | 7.19 Mn |
| Dec 31, 2021 | 7.08 Mn |
| Sep 30, 2021 | 8.06 Mn |
Danaos Cost of Revenue 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=cost-of-revenue&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();