EuroDry (EDRY) Operating Expenses (2017 - 2026)
EuroDry (EDRY) posted Operating Expenses of $8.89 million for Q2 2026, down 29.4% from $12.59 million a year earlier and down 17.0% from the prior quarter.
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Analysis
EuroDry (EDRY) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at EuroDry was -$5.74 million; for FY2025, it came in at $49.29 million, down 26.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In prior years, EuroDry's Operating Expenses was $67.38 million in FY2024 (+44.9%), $46.5 million in FY2023 (+28.9%), $36.07 million in FY2022 (+41.1%) and $25.55 million in FY2021 (+2.1%).
- Quarterly Operating Expenses has run from a low of -$18.98 million in Q4 2024 to a high of $15.88 million in Q2 2024 over five years.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 69.7%; the weakest was Q2 2026, with a decline of 29.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $10.72 million (Q1 2026), -$12.03 million (Q4 2025) and -$13.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | EuroDry | 125.34 Mn | 53.66 Mn | 16.17 Mn | 8.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.89 Mn |
| Mar 31, 2026 | 10.72 Mn |
| Dec 31, 2025 | -12.03 Mn |
| Sep 30, 2025 | -13.32 Mn |
| Jun 30, 2025 | 12.59 Mn |
| Mar 31, 2025 | 11.36 Mn |
| Dec 31, 2024 | -18.98 Mn |
| Sep 30, 2024 | -17.67 Mn |
| Jun 30, 2024 | 15.88 Mn |
| Mar 31, 2024 | 14.84 Mn |
| Dec 31, 2023 | -12.52 Mn |
| Sep 30, 2023 | -9.50 Mn |
| Jun 30, 2023 | 12.74 Mn |
| Mar 31, 2023 | 11.74 Mn |
| Dec 31, 2022 | -7.54 Mn |
| Sep 30, 2022 | -10.29 Mn |
| Jun 30, 2022 | 10.20 Mn |
| Mar 31, 2022 | 8.04 Mn |
| Dec 31, 2021 | -7.28 Mn |
| Sep 30, 2021 | -6.76 Mn |
API Access
EuroDry Operating Expenses 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=operating-expenses&ticker=EDRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();