Danaos (DAC) EBITDA (2009 - 2026)
Danaos (DAC) recorded EBITDA of $185.11 million in the quarter ended Jun 30, 2026, up 4.1% from $177.75 million a year earlier and up 3.7% from the prior quarter.
Danaos (DAC) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Danaos' EBITDA came in at $892.37 million as of Jun 30, 2026, up 26.5% year-over-year; for the year ended Dec 31, 2025, it came in at $706.31 million, down 1.7% from the prior year.
- Annual EBITDA has declined for three straight years, though with a five-year compound annual growth rate of 17.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EBITDA came in at $718.39 million in the year ended Dec 31, 2024 (-1.4%), $728.61 million in the year ended Dec 31, 2023 (-9.2%), $802.83 million in the year ended Dec 31, 2022 (+64.0%) and $489.67 million in the year ended Dec 31, 2021 (+54.1%).
- Quarterly EBITDA has ranged from $146.72 million in the quarter ended Sep 30, 2021 to $351.03 million in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last seven quarters, with growth averaging 14.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 102.2% in the quarter ended Mar 31, 2022, against a decline of 24.7% in the quarter ended Dec 31, 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 3.40 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 1.48 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.86 Bn |
| 10 | Danaos | 2.88 Bn | -1.24 Bn | 217.68 Mn | 184.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.99 Mn |
| Mar 31, 2026 | 152.18 Mn |
| Dec 31, 2025 | 26.87 Mn |
| Sep 30, 2025 | 330.34 Mn |
| Jun 30, 2025 | 177.75 Mn |
| Mar 31, 2025 | 144.49 Mn |
| Dec 31, 2024 | 56.95 Mn |
| Sep 30, 2024 | 161.52 Mn |
| Jun 30, 2024 | 182.34 Mn |
| Dec 31, 2023 | 180.19 Mn |
| Sep 30, 2023 | 174.55 Mn |
| Jun 30, 2023 | 184.03 Mn |
| Dec 31, 2021 | -618.52 Mn |
| Sep 30, 2021 | 144.68 Mn |
| Jun 30, 2021 | 101.40 Mn |
| Mar 31, 2021 | 85.92 Mn |
| Dec 31, 2020 | 77.45 Mn |
| Sep 30, 2020 | 85.60 Mn |
| Jun 30, 2020 | 78.95 Mn |
| Mar 31, 2020 | 63.15 Mn |
Danaos EBITDA 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=ebitda&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();