Danaos (DAC) Inventory (2009 - 2026)
Danaos (DAC) posted Inventory of $22.57 million for the quarter ended Jun 30, 2026, up 4.4% from $21.62 million a year earlier but down 36.3% from the prior quarter.
Danaos (DAC) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Danaos' Inventory came in at $23.42 million, down 1.9% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 19.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Danaos' Inventory was $23.88 million in the year ended Dec 31, 2024 (-2.6%), $24.51 million in the year ended Dec 31, 2023 (+52.3%), $16.1 million in the year ended Dec 31, 2022 (+28.0%) and $12.58 million in the year ended Dec 31, 2021 (+30.8%).
- Quarterly Inventory has run from a low of $12.04 million in the quarter ended Sep 30, 2021 to a high of $35.45 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Inventory increased in four of the last eight quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Dec 31, 2023, with growth of 52.3%; the weakest was the quarter ended Sep 30, 2025, with a decline of 12.8%.
- According to Business Quant data, Inventory for the three prior quarters was $35.45 million (quarter ended Mar 31, 2026), $23.42 million (quarter ended Dec 31, 2025) and $20.66 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 919.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 327.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.35 Mn |
| 10 | Danaos | 2.80 Bn | -1.06 Bn | 256.54 Mn | 22.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.57 Mn |
| Mar 31, 2026 | 35.45 Mn |
| Dec 31, 2025 | 23.42 Mn |
| Sep 30, 2025 | 20.66 Mn |
| Jun 30, 2025 | 21.62 Mn |
| Mar 31, 2025 | 27.05 Mn |
| Dec 31, 2024 | 23.88 Mn |
| Sep 30, 2024 | 23.69 Mn |
| Jun 30, 2024 | 21.91 Mn |
| Mar 31, 2024 | 20.10 Mn |
| Dec 31, 2023 | 24.51 Mn |
| Sep 30, 2023 | 16.83 Mn |
| Jun 30, 2023 | 16.02 Mn |
| Mar 31, 2023 | 15.69 Mn |
| Dec 31, 2022 | 16.10 Mn |
| Sep 30, 2022 | 15.86 Mn |
| Jun 30, 2022 | 14.44 Mn |
| Mar 31, 2022 | 12.39 Mn |
| Dec 31, 2021 | 12.58 Mn |
| Sep 30, 2021 | 12.04 Mn |
Danaos Inventory 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=inventory&ticker=DAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();