EuroDry (EDRY) Shares Outstanding (Diluted) (2017 - 2026)
EuroDry (EDRY) reported Shares Outstanding (Diluted) of 2.76 million for Q2 2026, up 1.0% from 2.73 million a year earlier and unchanged from the prior quarter.
EuroDry (EDRY) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
Dating back to Q4 2016, EuroDry's Shares Outstanding (Diluted) record includes 38 quarters.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 2.73 million in FY2024 (-1.3%), 2.76 million in FY2023 (-4.4%), 2.89 million in FY2022 (+13.4%) and 2.55 million in FY2021 (+12.0%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 2.28 million in Q3 2021 and a high of 2.89 million in Q3 2023.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last three quarters, with an average decline of 0.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2023 (growth of 13.4%); the low point was Q4 2023 (a decline of 4.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 2.76 million (Q1 2026), 2.76 million (Q4 2025) and 2.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 594.50 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 852.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 887.10 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 239.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 225.20 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 659.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 327.40 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 208.12 Mn |
| 10 | EuroDry | 94.72 Mn | 23.05 Mn | 16.17 Mn | 2.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Mn |
| Mar 31, 2026 | 2.76 Mn |
| Dec 31, 2025 | 2.76 Mn |
| Sep 30, 2025 | 2.73 Mn |
| Jun 30, 2025 | 2.73 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 2.76 Mn |
| Jun 30, 2024 | 2.76 Mn |
| Mar 31, 2024 | 2.76 Mn |
| Dec 31, 2023 | 2.76 Mn |
| Sep 30, 2023 | 2.89 Mn |
| Jun 30, 2023 | 2.89 Mn |
| Mar 31, 2023 | 2.89 Mn |
| Dec 31, 2022 | 2.89 Mn |
| Sep 30, 2022 | 2.55 Mn |
| Jun 30, 2022 | 2.55 Mn |
| Mar 31, 2022 | 2.55 Mn |
| Dec 31, 2021 | 2.55 Mn |
| Sep 30, 2021 | 2.28 Mn |
EuroDry Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=EDRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=EDRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();