Danaos (DAC) EBT (2009 - 2026)
Danaos (DAC) recorded EBT of $151.82 million in the quarter ended Jun 30, 2026, up 16.0% from $130.9 million a year earlier and up 8.1% from the prior quarter.
Danaos (DAC) EBT (2009 - 2026) Analysis & Trends
On a TTM basis, Danaos' EBT came in at $540.8 million as of Jun 30, 2026, up 11.9% year-over-year; for the year ended Dec 31, 2025, it came in at $494.61 million, down 2.1% from the prior year.
- Annual EBT has declined for four straight years, though with a five-year compound annual growth rate of 26.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EBT came in at $505.07 million in the year ended Dec 31, 2024 (-12.4%), $576.3 million in the year ended Dec 31, 2023 (-0.2%), $577.46 million in the year ended Dec 31, 2022 (-45.5%) and $1.06 billion in the year ended Dec 31, 2021 (+589.5%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EBT since the quarter ended Mar 31, 2024.
- On a year-over-year basis, EBT has increased for four consecutive quarters, with growth averaging 20.8% over the last eight quarters.
- Peak year-over-year performance for EBT in the last five years was growth of 233.9% in the quarter ended Sep 30, 2021, against a decline of 97.2% in the quarter ended Jun 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $140.42 million (quarter ended Mar 31, 2026), $117.91 million (quarter ended Dec 31, 2025) and $130.65 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 2.56 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 1.32 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 982.46 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 761.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 959.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 2.11 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 2.01 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 467.47 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 689.16 Mn |
| 10 | Danaos | 2.83 Bn | -1.04 Bn | 256.54 Mn | 151.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.82 Mn |
| Mar 31, 2026 | 140.42 Mn |
| Dec 31, 2025 | 117.91 Mn |
| Sep 30, 2025 | 130.65 Mn |
| Jun 30, 2025 | 130.90 Mn |
| Mar 31, 2025 | 115.15 Mn |
| Dec 31, 2024 | 114.45 Mn |
| Sep 30, 2024 | 123.00 Mn |
| Jun 30, 2024 | 148.01 Mn |
| Mar 31, 2024 | 177.20 Mn |
| Dec 31, 2023 | 41.91 Mn |
| Sep 30, 2023 | 133.16 Mn |
| Jun 30, 2023 | 147.02 Mn |
| Mar 31, 2023 | 179.04 Mn |
| Dec 31, 2022 | 152.72 Mn |
| Sep 30, 2022 | 70.57 Mn |
| Jun 30, 2022 | 10.49 Mn |
| Mar 31, 2022 | 343.68 Mn |
| Dec 31, 2021 | 167.79 Mn |
| Sep 30, 2021 | 221.32 Mn |
Danaos EBT 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=ebt&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();