Scilex Holding (SCLX) Shares Outstanding (Entity) (2020 - 2026)
Scilex Holding's Shares Outstanding (Entity) came in at 7.03 million for Q2 2026, down 39.3% from 11.6 million a year earlier but up 2.1% from the prior quarter.
Scilex Holding (SCLX) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, Scilex Holding's Shares Outstanding (Entity) was 11.03 million, down 91.6% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of -39.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 131.14 million in FY2024 (+0.6%), 130.3 million in FY2023 (-7.8%), 141.35 million in FY2022 (+6.4%) and 132.86 million in FY2021 (unchanged).
- The five-year range for quarterly Shares Outstanding (Entity) is 6.89 million (Q1 2026) to 148.7 million (Q2 2023).
- Year-over-year, Shares Outstanding (Entity) has declined for three consecutive quarters, with an average decline of 48.9% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q2 2023 (growth of 405.8%), and the weakest in Q3 2024 (a decline of 94.6%).
- Business Quant data shows SCLX's Shares Outstanding (Entity) at 6.89 million (Q1 2026), 11.03 million (Q4 2025) and 11.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 540.60 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 253.35 Mn |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | 7.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.03 Mn |
| Mar 31, 2026 | 6.89 Mn |
| Dec 31, 2025 | 11.03 Mn |
| Sep 30, 2025 | 11.60 Mn |
| Jun 30, 2025 | 11.60 Mn |
| Mar 31, 2025 | 11.57 Mn |
| Dec 31, 2024 | 131.14 Mn |
| Sep 30, 2024 | 7.56 Mn |
| Jun 30, 2024 | 121.41 Mn |
| Mar 31, 2024 | 102.41 Mn |
| Dec 31, 2023 | 130.30 Mn |
| Sep 30, 2023 | 139.81 Mn |
| Jun 30, 2023 | 148.70 Mn |
| Mar 31, 2023 | 145.81 Mn |
| Dec 31, 2022 | 141.35 Mn |
| Sep 30, 2022 | 29.40 Mn |
| Jun 30, 2022 | 29.40 Mn |
| Mar 31, 2022 | 29.40 Mn |
| Dec 31, 2021 | 132.86 Mn |
| Sep 30, 2021 | 29.40 Mn |
Scilex Holding Shares Outstanding (Entity) 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-entity&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "SCLX", "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-entity&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();