Euroseas (ESEA) Inventory (2009 - 2026)
Euroseas (ESEA) reported Inventory of $3.17 million for the quarter ended Jun 30, 2026, up 10.4% from $2.87 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Euroseas (ESEA) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Euroseas posted Inventory of $2.82 million, down 11.7% from the prior year.
- Inventory has a five-year compound annual growth rate of -93.0% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $3.19 million in the year ended Dec 31, 2024 (+25.7%), $2.54 million in the year ended Dec 31, 2023 (+10.1%), $2.31 million in the year ended Dec 31, 2022 (+1.4%) and $2.27 million in the year ended Dec 31, 2021 (-100.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Inventory since the quarter ended Mar 31, 2025.
- Year over year, Inventory gained in five of the last eight quarters, with growth averaging 3.4%.
- The high point for year-over-year Inventory in five years was the quarter ended Jun 30, 2022 (growth of 58.5%); the low point was the quarter ended Dec 31, 2021 (a decline of 100.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $3.03 million (quarter ended Mar 31, 2026), $2.82 million (quarter ended Dec 31, 2025) and $2.67 million (quarter ended Sep 30, 2025).
Peer Set
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 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn | 3.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.17 Mn |
| Mar 31, 2026 | 3.03 Mn |
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 3.32 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 3.13 Mn |
| Jun 30, 2024 | 2.76 Mn |
| Mar 31, 2024 | 3.06 Mn |
| Dec 31, 2023 | 2.54 Mn |
| Sep 30, 2023 | 2.75 Mn |
| Jun 30, 2023 | 2.57 Mn |
| Mar 31, 2023 | 2.54 Mn |
| Dec 31, 2022 | 2.31 Mn |
| Sep 30, 2022 | 2.40 Mn |
| Jun 30, 2022 | 2.43 Mn |
| Mar 31, 2022 | 1.87 Mn |
| Dec 31, 2021 | 2.27 Mn |
| Sep 30, 2021 | 1.72 Mn |
API Access
Euroseas 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=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "ESEA", "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=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();