Danaos (DAC) EPS (Diluted) (2009 - 2026)
Danaos (DAC) posted EPS (Diluted) of $8.21 for the quarter ended Jun 30, 2026, up 21.7% from $6.75 a year earlier and up 8.1% from the prior quarter.
Danaos (DAC) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Danaos was $29.26, up 23.5% year-over-year; for the year ended Dec 31, 2025, it was $26.76, up 2.7% from the prior year.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 32.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Danaos' EPS (Diluted) was $26.05 in the year ended Dec 31, 2024 (-10.0%), $28.95 in the year ended Dec 31, 2023 (+6.1%), $27.28 in the year ended Dec 31, 2022 (-46.7%) and $51.15 in the year ended Dec 31, 2021 (+693.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Diluted) since the quarter ended Mar 31, 2022.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last four quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was the quarter ended Dec 31, 2021, with growth of 344.6%; the weakest was the quarter ended Jun 30, 2022, with a decline of 97.4%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $7.60 (quarter ended Mar 31, 2026), $6.38 (quarter ended Dec 31, 2025) and $6.74 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.83 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.26 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.68 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.68 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.17 |
| 10 | Danaos | 2.80 Bn | -1.06 Bn | 256.54 Mn | 8.21 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.21 |
| Mar 31, 2026 | 7.60 |
| Dec 31, 2025 | 6.38 |
| Sep 30, 2025 | 6.74 |
| Jun 30, 2025 | 6.75 |
| Mar 31, 2025 | 5.94 |
| Dec 31, 2024 | 4.66 |
| Sep 30, 2024 | 6.18 |
| Jun 30, 2024 | 7.09 |
| Mar 31, 2024 | 7.56 |
| Dec 31, 2023 | 7.53 |
| Sep 30, 2023 | 6.50 |
| Jun 30, 2023 | 7.17 |
| Mar 31, 2023 | 7.13 |
| Dec 31, 2022 | 7.45 |
| Sep 30, 2022 | 3.25 |
| Jun 30, 2022 | 0.40 |
| Mar 31, 2022 | 16.10 |
| Dec 31, 2021 | 8.06 |
| Sep 30, 2021 | 9.13 |
Danaos EPS (Diluted) 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=eps-diluted&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();