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 | 175.93 Bn | 168.18 Bn | - | - |
| 2 | United Parcel Service | 94.28 Bn | 71.10 Bn | - | - |
| 3 | Csx | 92.36 Bn | 87.58 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 83.27 Bn | 82.30 Bn | - | - |
| 5 | Fedex | 75.51 Bn | 41.70 Bn | - | - |
| 6 | Norfolk Southern | 73.21 Bn | 67.67 Bn | - | - |
| 7 | Delta Air Lines | 59.59 Bn | 41.78 Bn | - | - |
| 8 | United Airlines Holdings | 38.87 Bn | -18.83 Bn | - | - |
| 9 | Old Dominion Freight Line | 35.35 Bn | 34.19 Bn | - | - |
| 10 | Danaos | 2.72 Bn | -1.40 Bn | 217.68 Mn | 56.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.69 Mn |
| Mar 31, 2026 | 49.98 Mn |
| Dec 31, 2025 | 48.44 Mn |
| Sep 30, 2025 | 52.26 Mn |
| Jun 30, 2025 | 56.39 Mn |
| Mar 31, 2025 | 51.70 Mn |
| Dec 31, 2024 | 45.65 Mn |
| Sep 30, 2024 | 49.87 Mn |
| Jun 30, 2024 | 47.09 Mn |
| Mar 31, 2024 | 43.11 Mn |
| Dec 31, 2023 | 40.12 Mn |
| Sep 30, 2023 | 39.49 Mn |
| Jun 30, 2023 | 41.86 Mn |
| Mar 31, 2023 | 40.64 Mn |
| Dec 31, 2022 | 40.04 Mn |
| Sep 30, 2022 | 39.19 Mn |
| Jun 30, 2022 | 40.58 Mn |
| Mar 31, 2022 | 39.16 Mn |
| Dec 31, 2021 | 37.18 Mn |
| Sep 30, 2021 | 34.67 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();