EuroDry (EDRY) Property, Plant & Equipment (Net) (2016 - 2026)
EuroDry's Property, Plant & Equipment (Net) came in at $160.19 million for Q2 2026, down 10.6% from $179.12 million a year earlier and down 1.8% from the prior quarter.
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Analysis
EuroDry (EDRY) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, EuroDry's Property, Plant & Equipment (Net) was $165.89 million, down 10.6% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $185.47 million in FY2024 (-8.9%), $203.53 million in FY2023 (+36.6%), $149.02 million in FY2022 (+16.0%) and $128.49 million in FY2021 (+29.4%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q2 2023.
- Year-over-year, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with an average decline of 9.8% over the last six quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2022 (growth of 51.2%), and the weakest in Q2 2026 (a decline of 10.6%).
- Business Quant data shows EDRY's Property, Plant & Equipment (Net) at $163.06 million (Q1 2026), $165.89 million (Q4 2025) and $168.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 60.20 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 36.95 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 41.33 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 36.63 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 37.89 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 41.54 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 47.96 Bn |
| 10 | EuroDry | 161.52 Mn | 99.20 Mn | 16.17 Mn | 160.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.19 Mn |
| Mar 31, 2026 | 163.06 Mn |
| Dec 31, 2025 | 165.89 Mn |
| Sep 30, 2025 | 168.58 Mn |
| Jun 30, 2025 | 179.12 Mn |
| Mar 31, 2025 | 182.28 Mn |
| Dec 31, 2024 | 185.47 Mn |
| Jun 30, 2024 | 197.18 Mn |
| Mar 31, 2024 | 200.34 Mn |
| Dec 31, 2023 | 203.53 Mn |
| Jun 30, 2023 | 143.99 Mn |
| Mar 31, 2023 | 146.54 Mn |
| Dec 31, 2022 | 149.02 Mn |
| Sep 30, 2022 | 151.56 Mn |
| Jun 30, 2022 | 160.22 Mn |
| Mar 31, 2022 | 147.71 Mn |
| Dec 31, 2021 | 128.49 Mn |
| Sep 30, 2021 | 130.62 Mn |
| Jun 30, 2021 | 108.05 Mn |
| Mar 31, 2021 | 97.68 Mn |
API Access
EuroDry Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();