Danaos (DAC) Change in Cash (2009 - 2026)
Danaos (DAC) reported Change in Cash of $1.01 billion for the quarter ended Jun 30, 2026, up 84.6% from $546.16 million a year earlier.
Danaos (DAC) Change in Cash (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Danaos' Change in Cash came in at $1.79 billion, up 173.9% year-over-year; for the year ended Dec 31, 2025, it was $1.04 billion, up 471.3% from the prior year.
- By year, Change in Cash came in at $181.58 million in the year ended Dec 31, 2024, $4.14 million in the year ended Dec 31, 2023 (-97.0%), $137.91 million in the year ended Dec 31, 2022 (+115.2%) and $64.09 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Change in Cash in data going back to the quarter ended Sep 30, 2009.
- Year over year, Change in Cash gained in two of the last four quarters, with growth averaging 87.6%.
- The high point for year-over-year Change in Cash in five years was the quarter ended Sep 30, 2025 (growth of 322.3%); the low point was the quarter ended Sep 30, 2023 (a decline of 94.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$161.09 million (quarter ended Mar 31, 2026), $894.31 million (quarter ended Dec 31, 2025) and $50.21 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 595.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 2.18 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 216.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 23.57 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 1.62 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 529.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | -891.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | -3.51 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 182.29 Mn |
| 10 | Danaos | 2.73 Bn | -1.39 Bn | 217.68 Mn | 132.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.06 Mn |
| Mar 31, 2026 | -161.09 Mn |
| Dec 31, 2025 | 440.92 Mn |
| Sep 30, 2025 | 50.21 Mn |
| Jun 30, 2025 | 65.62 Mn |
| Mar 31, 2025 | 27.16 Mn |
| Dec 31, 2024 | 69.05 Mn |
| Sep 30, 2024 | 11.89 Mn |
| Jun 30, 2024 | 48.12 Mn |
| Mar 31, 2024 | 52.52 Mn |
| Dec 31, 2023 | -34.48 Mn |
| Sep 30, 2023 | 12.96 Mn |
| Jun 30, 2023 | -66.25 Mn |
| Mar 31, 2023 | 91.91 Mn |
| Dec 31, 2022 | -301.68 Mn |
| Sep 30, 2022 | 236.77 Mn |
| Jun 30, 2022 | 133.91 Mn |
| Mar 31, 2022 | 68.91 Mn |
| Dec 31, 2021 | 36.20 Mn |
| Sep 30, 2021 | -200.86 Mn |
Danaos Change in Cash 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=change-in-cash&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();