Opus Genetics (IRD) Shares Outstanding (Diluted) (2016 - 2026)
Opus Genetics (IRD) reported Shares Outstanding (Diluted) of 111.38 million for Q2 2026, up 75.8% from 63.38 million a year earlier and up 28.2% from the prior quarter.
Opus Genetics (IRD) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Opus Genetics posted Shares Outstanding (Diluted) of 62.22 million, up 132.9% from FY2024.
- Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 67.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 26.72 million in FY2024 (+23.7%), 21.59 million in FY2023 (+4.8%), 20.6 million in FY2022 (+38.7%) and 14.85 million in FY2021 (+218.7%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2016.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 26 quarters, with growth averaging 94.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 4.8% in Q4 2023 to 352.1% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at 86.89 million (Q1 2026), 62.22 million (Q4 2025) and 70.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Opus Genetics | 400.02 Mn | 175.30 Mn | - | 111.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.38 Mn |
| Mar 31, 2026 | 86.89 Mn |
| Dec 31, 2025 | 62.22 Mn |
| Sep 30, 2025 | 70.64 Mn |
| Jun 30, 2025 | 63.38 Mn |
| Mar 31, 2025 | 33.88 Mn |
| Dec 31, 2024 | 26.72 Mn |
| Sep 30, 2024 | 26.15 Mn |
| Jun 30, 2024 | 25.83 Mn |
| Mar 31, 2024 | 24.52 Mn |
| Dec 31, 2023 | 21.59 Mn |
| Sep 30, 2023 | 22.41 Mn |
| Jun 30, 2023 | 20.96 Mn |
| Mar 31, 2023 | 20.94 Mn |
| Dec 31, 2022 | 20.60 Mn |
| Sep 30, 2022 | 20.50 Mn |
| Jun 30, 2022 | 19.50 Mn |
| Mar 31, 2022 | 18.89 Mn |
| Dec 31, 2021 | 14.85 Mn |
| Sep 30, 2021 | 16.93 Mn |
Opus Genetics 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=IRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "IRD", "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=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();