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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Danaos | 2.80 Bn | -1.06 Bn | 256.54 Mn | 185.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.11 Mn |
| Mar 31, 2026 | 178.48 Mn |
| Sep 30, 2025 | 351.03 Mn |
| Jun 30, 2025 | 177.75 Mn |
| Mar 31, 2025 | 171.25 Mn |
| Dec 31, 2024 | 178.42 Mn |
| Sep 30, 2024 | 177.89 Mn |
| Jun 30, 2024 | 182.34 Mn |
| Mar 31, 2024 | 179.75 Mn |
| Dec 31, 2023 | 171.05 Mn |
| Sep 30, 2023 | 183.69 Mn |
| Jun 30, 2023 | 184.03 Mn |
| Mar 31, 2023 | 189.85 Mn |
| Dec 31, 2022 | 227.10 Mn |
| Sep 30, 2022 | 204.17 Mn |
| Jun 30, 2022 | 194.58 Mn |
| Mar 31, 2022 | 176.99 Mn |
| Dec 31, 2021 | 153.04 Mn |
| Sep 30, 2021 | 146.72 Mn |
| Jun 30, 2021 | 102.39 Mn |
API Access
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_KEYimport 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();