Euroseas (ESEA) Depreciation and Depletion (2015 - 2026)
Euroseas (ESEA) recorded Depreciation and Depletion of $6.68 million in the quarter ended Jun 30, 2026, down 8.0% from $7.26 million a year earlier and unchanged from the prior quarter.
Euroseas (ESEA) Depreciation and Depletion (2015 - 2026) Analysis & Trends
On a TTM basis, Euroseas' Depreciation and Depletion came in at $26.67 million as of Jun 30, 2026, down 9.3% year-over-year; for the year ended Dec 31, 2025, it was $28.61 million, up 8.5% from the prior year.
- Across earlier years, Depreciation and Depletion came in at $26.37 million in the year ended Dec 31, 2024 (+15.5%), $22.84 million in the year ended Dec 31, 2023, -$18.52 million in the year ended Dec 31, 2022 and -$7.2 million in the year ended Dec 31, 2021.
- Quarterly Depreciation and Depletion has ranged from -$31.7 million in the quarter ended Dec 31, 2022 to $8.05 million in the quarter ended Mar 31, 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has declined for four consecutive quarters, with growth averaging 6.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 234.9% in the quarter ended Sep 30, 2022, against a decline of 17.0% in the quarter ended Mar 31, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.68 million (quarter ended Mar 31, 2026), $6.77 million (quarter ended Dec 31, 2025) and $6.53 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 638.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 358.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Euroseas | 510.99 Mn | -110.60 Mn | 113.38 Mn | 6.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.68 Mn |
| Mar 31, 2026 | 6.68 Mn |
| Dec 31, 2025 | 6.77 Mn |
| Sep 30, 2025 | 6.53 Mn |
| Jun 30, 2025 | 7.26 Mn |
| Mar 31, 2025 | 8.05 Mn |
| Dec 31, 2024 | 7.43 Mn |
| Sep 30, 2024 | 6.68 Mn |
| Jun 30, 2024 | 6.82 Mn |
| Mar 31, 2024 | 5.44 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 5.95 Mn |
| Jun 30, 2023 | 5.61 Mn |
| Mar 31, 2023 | 5.27 Mn |
| Dec 31, 2022 | -31.70 Mn |
| Sep 30, 2022 | 5.35 Mn |
| Jun 30, 2022 | 4.11 Mn |
| Mar 31, 2022 | 3.72 Mn |
| Dec 31, 2021 | -11.99 Mn |
| Sep 30, 2021 | 1.60 Mn |
Euroseas Depreciation and Depletion 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=depreciation-and-depletion&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();