Danaos (DAC) Receivables (2009 - 2026)
Danaos' Receivables was $91.38 million in the quarter ended Jun 30, 2026, up 19.4% from $76.56 million a year earlier and up 0.2% from the prior quarter.
Danaos (DAC) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Danaos came in at $85.48 million, up 9.4% from the prior year.
- Receivables has now increased for seven consecutive years, with a five-year compound annual growth rate of 25.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $78.15 million in the year ended Dec 31, 2024 (+27.4%), $61.36 million in the year ended Dec 31, 2023 (+54.8%), $39.64 million in the year ended Dec 31, 2022 (+36.7%) and $28.99 million in the year ended Dec 31, 2021 (+3.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Receivables in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Receivables was higher in six of the last seven quarters, with growth averaging 13.4%.
- The best year-over-year quarter for Receivables over five years was the quarter ended Jun 30, 2024 (growth of 69.6%); the worst was the quarter ended Dec 31, 2025 (a decline of 36.2%).
- Per Business Quant data, DAC's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $91.23 million (quarter ended Mar 31, 2026), $49.85 million (quarter ended Dec 31, 2025) and $81.06 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.70 Bn | 165.22 Bn | - | 2.13 Bn |
| 2 | Csx | 89.36 Bn | 85.57 Bn | - | 1.46 Bn |
| 3 | United Parcel Service | 84.10 Bn | 60.99 Bn | - | 10.71 Bn |
| 4 | Canadian Pacific Kansas City | 77.40 Bn | 76.42 Bn | - | 1.59 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 1.18 Bn |
| 6 | Fedex | 71.28 Bn | 37.23 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 50.19 Bn | 32.37 Bn | - | 4.33 Bn |
| 8 | Old Dominion Freight Line | 39.31 Bn | 38.58 Bn | - | 618.02 Mn |
| 9 | United Airlines Holdings | 31.95 Bn | -24.42 Bn | - | 2.47 Bn |
| 10 | Danaos | 2.90 Bn | -1.23 Bn | 217.68 Mn | 91.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.38 Mn |
| Mar 31, 2026 | 91.23 Mn |
| Dec 31, 2025 | 85.48 Mn |
| Sep 30, 2025 | 81.06 Mn |
| Jun 30, 2025 | 76.56 Mn |
| Mar 31, 2025 | 80.64 Mn |
| Dec 31, 2024 | 78.15 Mn |
| Sep 30, 2024 | 71.77 Mn |
| Jun 30, 2024 | 69.52 Mn |
| Mar 31, 2024 | 62.87 Mn |
| Dec 31, 2023 | 61.36 Mn |
| Sep 30, 2023 | 49.08 Mn |
| Jun 30, 2023 | 41.00 Mn |
| Mar 31, 2023 | 39.49 Mn |
| Dec 31, 2022 | 39.64 Mn |
| Sep 30, 2022 | 36.74 Mn |
| Jun 30, 2022 | 37.66 Mn |
| Mar 31, 2022 | 29.86 Mn |
| Dec 31, 2021 | 28.99 Mn |
| Sep 30, 2021 | 30.59 Mn |
Danaos Receivables 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=receivables&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();