Danaos (DAC) Operating Leases (2009 - 2025)
Danaos (DAC) reported Operating Leases of $66.3 million for the quarter ended Mar 31, 2023, down 68.5% from $210.18 million a year earlier and down 9.1% from the prior quarter.
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Analysis
Danaos (DAC) Operating Leases (2009 - 2025) Analysis & Trends
As of Dec 31, 2022, Danaos posted Operating Leases of $72.93 million.
- Operating Leases has a five-year compound annual growth rate of 30.4% (years ended Dec 2017 to Dec 2022).
- By year, Operating Leases came in at $19.74 million in the year ended Dec 31, 2019 (+1.6%) and $19.42 million in the year ended Dec 31, 2018 (+0.4%).
- The figure for the quarter ended Mar 31, 2023 ranks as the lowest quarterly Operating Leases since the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - |
| 2 | Csx | 89.36 Bn | 85.56 Bn | - |
| 3 | United Parcel Service | 84.27 Bn | 61.16 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.55 Bn | 76.57 Bn | - |
| 5 | Norfolk Southern | 73.10 Bn | 67.74 Bn | - |
| 6 | Fedex | 71.16 Bn | 37.10 Bn | - |
| 7 | Delta Air Lines | 50.32 Bn | 32.51 Bn | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.50 Bn | - |
| 9 | United Airlines Holdings | 32.03 Bn | -24.34 Bn | - |
| 10 | Danaos | 2.90 Bn | -1.22 Bn | 217.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 782.27 Mn |
| Mar 31, 2023 | 66.30 Mn |
| Dec 31, 2019 | 19.74 Mn |
| Dec 31, 2018 | 19.42 Mn |
| Dec 31, 2017 | 19.35 Mn |
| Dec 31, 2016 | 19.06 Mn |
| Dec 31, 2015 | 20.24 Mn |
| Dec 31, 2013 | 20.78 Mn |
| Dec 31, 2012 | 21.30 Mn |
| Dec 31, 2011 | 19.58 Mn |
| Dec 31, 2010 | 16.39 Mn |
| Dec 31, 2009 | 14.59 Mn |
API Access
Danaos Operating Leases 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=operating-leases&ticker=DAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();