Danaos (DAC) Operating Leases (2015 - 2023)
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 (2015 - 2023) 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 | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Danaos | 2.80 Bn | -1.06 Bn | 256.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 66.30 Mn |
| Dec 31, 2022 | 72.93 Mn |
| Sep 30, 2022 | 79.61 Mn |
| Mar 31, 2022 | 210.18 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 |
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();