Euroseas (ESEA) EBIT (2009 - 2026)
Euroseas' EBIT came in at $33.44 million for the quarter ended Jun 30, 2026, up 0.2% from $33.38 million a year earlier but down 2.2% from the prior quarter.
Euroseas (ESEA) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Euroseas reported EBIT of $143.27 million, up 9.2% year-over-year; for the year ended Dec 31, 2025, it was $149.5 million, up 24.6% from the prior year.
- EBIT has increased in each of the last six years, with a five-year compound annual growth rate of 74.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBIT was $120.02 million in the year ended Dec 31, 2024 (+0.5%), $119.43 million in the year ended Dec 31, 2023 (+12.0%), $106.64 million in the year ended Dec 31, 2022 (+133.2%) and $45.73 million in the year ended Dec 31, 2021 (+392.2%).
- The five-year range for quarterly EBIT is $9.04 million (the quarter ended Sep 30, 2021) to $43.13 million (the quarter ended Dec 31, 2025).
- Year-over-year, EBIT increased in four of the last eight quarters, with growth averaging 14.8%.
- The fastest year-over-year change in EBIT over five years came in the quarter ended Mar 31, 2022 (growth of 615.4%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 31.3%).
- Business Quant data shows ESEA's EBIT at $34.2 million (quarter ended Mar 31, 2026), $43.13 million (quarter ended Dec 31, 2025) and $32.51 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.76 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.51 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.06 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 930.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 1.86 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 465.30 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 668.82 Mn |
| 10 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn | 33.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.44 Mn |
| Mar 31, 2026 | 34.20 Mn |
| Dec 31, 2025 | 43.13 Mn |
| Sep 30, 2025 | 32.51 Mn |
| Jun 30, 2025 | 33.38 Mn |
| Mar 31, 2025 | 40.48 Mn |
| Dec 31, 2024 | 26.63 Mn |
| Sep 30, 2024 | 30.66 Mn |
| Jun 30, 2024 | 42.34 Mn |
| Mar 31, 2024 | 20.39 Mn |
| Dec 31, 2023 | 27.70 Mn |
| Sep 30, 2023 | 33.24 Mn |
| Jun 30, 2023 | 28.81 Mn |
| Mar 31, 2023 | 29.69 Mn |
| Dec 31, 2022 | 21.46 Mn |
| Sep 30, 2022 | 24.70 Mn |
| Jun 30, 2022 | 31.88 Mn |
| Mar 31, 2022 | 28.61 Mn |
| Dec 31, 2021 | 23.96 Mn |
| Sep 30, 2021 | 9.04 Mn |
Euroseas EBIT 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=ebit&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();