Euroseas (ESEA) Operating Expenses (2009 - 2026)
Euroseas (ESEA) reported Operating Expenses of $23.06 million for the quarter ended Jun 30, 2026, down 3.3% from $23.86 million a year earlier but up 6.6% from the prior quarter.
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Analysis
Euroseas (ESEA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Euroseas' Operating Expenses came in at $83.36 million, down 7.3% year-over-year; for the year ended Dec 31, 2025, it came in at -$46.85 million.
- By year, Operating Expenses came in at -$46.69 million in the year ended Dec 31, 2024, $69.93 million in the year ended Dec 31, 2023 (-8.1%), $76.05 million in the year ended Dec 31, 2022 (+57.9%) and $48.16 million in the year ended Dec 31, 2021 (+9.4%).
- Five-year quarterly Operating Expenses spans a low of $12.25 million in the quarter ended Mar 31, 2023 and a high of $26.68 million in the quarter ended Dec 31, 2024.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 7.0%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Mar 31, 2024 (growth of 115.0%); the low point was the quarter ended Dec 31, 2025 (a decline of 46.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $21.64 million (quarter ended Mar 31, 2026), $14.26 million (quarter ended Dec 31, 2025) and $24.4 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 4.10 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 16.58 Bn |
| 10 | Euroseas | 476.68 Mn | -100,210.93 Bn | 44.87 Mn | 23.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.06 Mn |
| Mar 31, 2026 | 21.64 Mn |
| Dec 31, 2025 | 14.26 Mn |
| Sep 30, 2025 | 24.40 Mn |
| Jun 30, 2025 | 23.86 Mn |
| Mar 31, 2025 | 15.86 Mn |
| Dec 31, 2024 | 26.68 Mn |
| Sep 30, 2024 | 23.49 Mn |
| Jun 30, 2024 | 16.39 Mn |
| Mar 31, 2024 | 26.33 Mn |
| Dec 31, 2023 | 21.36 Mn |
| Sep 30, 2023 | 17.43 Mn |
| Jun 30, 2023 | 18.88 Mn |
| Mar 31, 2023 | 12.25 Mn |
| Dec 31, 2022 | 21.43 Mn |
| Sep 30, 2022 | 21.26 Mn |
| Jun 30, 2022 | 16.60 Mn |
| Mar 31, 2022 | 16.77 Mn |
| Dec 31, 2021 | 14.29 Mn |
| Sep 30, 2021 | 14.00 Mn |
API Access
Euroseas Operating Expenses 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-expenses&ticker=ESEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();