EyePoint (EYPT) Shares Outstanding (Diluted) (2010 - 2026)
EyePoint's Weighted Average Shares Outstanding (Diluted) was 86.54 million in Q2 2026, up 23.8% from 69.93 million a year earlier and up 0.6% from the prior quarter.
EyePoint (EYPT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at EyePoint came in at 73.25 million, up 30.1% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 83.4% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 56.3 million in FY2024 (+44.7%), 38.9 million in FY2023 (+4.3%), 37.32 million in FY2022 (+29.8%) and 28.76 million in FY2021 (+713.7%).
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2018.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 21 straight quarters, with growth averaging 32.0% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.6% (Q1 2023) and 954.0% (Q1 2022) over the last five years.
- Per Business Quant data, EYPT's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 86 million (Q1 2026), 73.25 million (Q4 2025) and 70.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 5.75 Bn |
| 10 | EyePoint | 31.41 Mn | -881.72 Mn | 507,000.00 | 86.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.54 Mn |
| Mar 31, 2026 | 86.00 Mn |
| Dec 31, 2025 | 73.25 Mn |
| Sep 30, 2025 | 70.17 Mn |
| Jun 30, 2025 | 69.93 Mn |
| Mar 31, 2025 | 69.77 Mn |
| Dec 31, 2024 | 56.30 Mn |
| Sep 30, 2024 | 54.45 Mn |
| Jun 30, 2024 | 53.21 Mn |
| Mar 31, 2024 | 52.91 Mn |
| Dec 31, 2023 | 38.90 Mn |
| Sep 30, 2023 | 38.34 Mn |
| Jun 30, 2023 | 37.58 Mn |
| Mar 31, 2023 | 37.49 Mn |
| Dec 31, 2022 | 37.32 Mn |
| Sep 30, 2022 | 37.34 Mn |
| Jun 30, 2022 | 37.32 Mn |
| Mar 31, 2022 | 37.25 Mn |
| Dec 31, 2021 | 28.76 Mn |
| Sep 30, 2021 | 28.77 Mn |
EyePoint 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=EYPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EYPT", "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=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();