EuroDry (EDRY) Depreciation and Depletion (2017 - 2026)
EuroDry (EDRY) recorded Depreciation and Depletion of $2.9 million in Q2 2026, down 9.8% from $3.22 million a year earlier and unchanged from the prior quarter.
EuroDry (EDRY) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a TTM basis, EuroDry's Depreciation and Depletion came in at $11.78 million as of Jun 30, 2026, down 12.2% year-over-year; for FY2025, it was $12.41 million, down 10.6% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $13.88 million in FY2024 (+26.5%), $10.97 million in FY2023 (+1.9%), $10.76 million in FY2022 (+40.5%) and $7.66 million in FY2021 (+16.8%).
- Quarterly Depreciation and Depletion has ranged from $1.98 million in Q3 2021 to $3.51 million in Q4 2024 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has declined for six consecutive quarters, with an average decline of 2.6% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 62.9% in Q2 2022, against a decline of 17.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.9 million (Q1 2026), $2.89 million (Q4 2025) and $3.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 638.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 484.82 Mn |
| 10 | EuroDry | 148.95 Mn | 86.63 Mn | 16.17 Mn | 2.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.90 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 2.89 Mn |
| Sep 30, 2025 | 3.09 Mn |
| Jun 30, 2025 | 3.22 Mn |
| Mar 31, 2025 | 3.22 Mn |
| Dec 31, 2024 | 3.51 Mn |
| Sep 30, 2024 | 3.46 Mn |
| Jun 30, 2024 | 3.46 Mn |
| Mar 31, 2024 | 3.44 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 2.62 Mn |
| Jun 30, 2023 | 2.58 Mn |
| Mar 31, 2023 | 2.53 Mn |
| Dec 31, 2022 | 2.57 Mn |
| Sep 30, 2022 | 2.86 Mn |
| Jun 30, 2022 | 2.87 Mn |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | 2.26 Mn |
| Sep 30, 2021 | 1.98 Mn |
EuroDry 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=EDRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "EDRY", "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=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();