Opko Health (OPK) Shares Outstanding (Diluted) (2010 - 2026)
Opko Health (OPK) reported Shares Outstanding (Diluted) of 755.27 million for Q2 2026, down 4.2% from 788.01 million a year earlier and down 0.5% from the prior quarter.
Opko Health (OPK) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Opko Health posted Shares Outstanding (Diluted) of 751.13 million, up 8.2% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 694.02 million in FY2024 (-7.7%), 751.77 million in FY2023 (+4.5%), 719.06 million in FY2022 (+11.0%) and 648.08 million in FY2021 (+1.2%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 648.08 million in Q4 2021 and a high of 998.36 million in Q3 2024.
- Year over year, Shares Outstanding (Diluted) gained in four of the last eight quarters, with growth averaging 2.8%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2024 (growth of 32.8%); the low point was Q3 2025 (a decline of 21.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 758.88 million (Q1 2026), 751.13 million (Q4 2025) and 779.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Opko Health | 1.23 Bn | -199.60 Mn | 80.02 Mn | 755.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 755.27 Mn |
| Mar 31, 2026 | 758.88 Mn |
| Dec 31, 2025 | 751.13 Mn |
| Sep 30, 2025 | 779.92 Mn |
| Jun 30, 2025 | 788.01 Mn |
| Mar 31, 2025 | 671.58 Mn |
| Dec 31, 2024 | 694.02 Mn |
| Sep 30, 2024 | 998.36 Mn |
| Jun 30, 2024 | 697.21 Mn |
| Mar 31, 2024 | 751.77 Mn |
| Dec 31, 2023 | 751.77 Mn |
| Sep 30, 2023 | 751.53 Mn |
| Jun 30, 2023 | 751.51 Mn |
| Mar 31, 2023 | 751.51 Mn |
| Dec 31, 2022 | 719.06 Mn |
| Sep 30, 2022 | 750.40 Mn |
| Jun 30, 2022 | 712.55 Mn |
| Mar 31, 2022 | 660.30 Mn |
| Dec 31, 2021 | 648.08 Mn |
| Sep 30, 2021 | 651.84 Mn |
Opko Health 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=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "OPK", "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=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();