EuroDry (EDRY) Assets (2017 - 2026)
EuroDry's Assets was $212.47 million in Q2 2026, up 2.8% from $206.63 million a year earlier and up 1.6% from the prior quarter.
Analysis
EuroDry (EDRY) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Assets at EuroDry came in at $212.1 million, down 3.5% from FY2024.
- Assets shows a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In earlier years, Assets was $219.74 million in FY2024 (-4.9%), $231.05 million in FY2023 (+15.8%), $199.51 million in FY2022 (+23.7%) and $161.33 million in FY2021 (+50.1%).
- The Q2 2026 figure marks the highest quarterly Assets since Q4 2024.
- Compared with a year earlier, Assets was higher in 1 of the last six quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Assets over five years was Q1 2022 (growth of 56.5%); the worst was Q1 2025 (a decline of 7.1%).
- Per Business Quant data, EDRY's Assets in the three quarters before Q2 2026 was $209.06 million (Q1 2026), $212.1 million (Q4 2025) and $202.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 71.21 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 44.73 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 64.54 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 71.27 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 45.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 98.94 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 86.32 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 5.74 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 21.11 Bn |
| 10 | EuroDry | 149.79 Mn | 87.47 Mn | 16.17 Mn | 212.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.47 Mn |
| Mar 31, 2026 | 209.06 Mn |
| Dec 31, 2025 | 212.10 Mn |
| Sep 30, 2025 | 202.11 Mn |
| Jun 30, 2025 | 206.63 Mn |
| Mar 31, 2025 | 210.98 Mn |
| Dec 31, 2024 | 219.74 Mn |
| Jun 30, 2024 | 219.86 Mn |
| Mar 31, 2024 | 227.05 Mn |
| Dec 31, 2023 | 231.05 Mn |
| Jun 30, 2023 | 192.58 Mn |
| Mar 31, 2023 | 181.30 Mn |
| Dec 31, 2022 | 199.51 Mn |
| Sep 30, 2022 | 201.85 Mn |
| Jun 30, 2022 | 177.20 Mn |
| Mar 31, 2022 | 169.14 Mn |
| Dec 31, 2021 | 161.33 Mn |
| Sep 30, 2021 | 156.72 Mn |
| Jun 30, 2021 | 127.96 Mn |
| Mar 31, 2021 | 108.11 Mn |
API Access
EuroDry Assets 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=assets&ticker=EDRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();