Euroseas (ESEA) EBITDA (2009 - 2026)
Euroseas (ESEA) recorded EBITDA of $40.22 million in the quarter ended Jun 30, 2026, down 1.4% from $40.79 million a year earlier and down 1.8% from the prior quarter.
Euroseas (ESEA) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Euroseas' EBITDA came in at $170.34 million as of Jun 30, 2026, up 5.7% year-over-year; for the year ended Dec 31, 2025, it was $178.59 million, up 21.6% from the prior year.
- Annual EBITDA has increased for four straight years, with a five-year compound annual growth rate of 126.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EBITDA came in at $146.92 million in the year ended Dec 31, 2024 (+2.9%), $142.74 million in the year ended Dec 31, 2023 (+61.4%), $88.46 million in the year ended Dec 31, 2022 (+128.3%) and $38.75 million in the year ended Dec 31, 2021.
- Quarterly EBITDA has ranged from -$10.14 million in the quarter ended Dec 31, 2022 to $50 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 12.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 474.2% in the quarter ended Mar 31, 2022, against a decline of 25.9% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.98 million (quarter ended Mar 31, 2026), $50 million (quarter ended Dec 31, 2025) and $39.14 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Euroseas | 488.34 Mn | -133.24 Mn | 113.38 Mn | 40.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.22 Mn |
| Mar 31, 2026 | 40.98 Mn |
| Dec 31, 2025 | 50.00 Mn |
| Sep 30, 2025 | 39.14 Mn |
| Jun 30, 2025 | 40.79 Mn |
| Mar 31, 2025 | 48.66 Mn |
| Dec 31, 2024 | 34.21 Mn |
| Sep 30, 2024 | 37.47 Mn |
| Jun 30, 2024 | 49.28 Mn |
| Mar 31, 2024 | 25.96 Mn |
| Dec 31, 2023 | 33.78 Mn |
| Sep 30, 2023 | 39.38 Mn |
| Jun 30, 2023 | 34.53 Mn |
| Mar 31, 2023 | 35.06 Mn |
| Dec 31, 2022 | -10.14 Mn |
| Sep 30, 2022 | 30.13 Mn |
| Jun 30, 2022 | 36.07 Mn |
| Mar 31, 2022 | 32.41 Mn |
| Dec 31, 2021 | 12.04 Mn |
| Sep 30, 2021 | 10.68 Mn |
Euroseas EBITDA 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=ebitda&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();