EyePoint (EYPT) Shares Outstanding (2010 - 2026)
EyePoint (EYPT) reported Weighted Average Shares Outstanding of 86.54 million for Q2 2026, up 23.8% from 69.93 million a year earlier and up 0.6% from the prior quarter.
EyePoint (EYPT) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, EyePoint posted Weighted Average Shares Outstanding of 73.25 million, up 30.1% from FY2024.
- Weighted Average Shares Outstanding has increased for seven consecutive years, with a five-year compound annual growth rate of 41.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 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 (+124.0%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2018.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 27 quarters, with growth averaging 32.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 0.6% (Q1 2023) to 124.8% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at 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 (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.41 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 | 2.47 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 5.70 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 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&ticker=EYPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=EYPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();