Scilex Holding (SCLX) Shares Outstanding (2020 - 2026)
Scilex Holding's Shares Outstanding was 6.89 million in Q2 2026, down 40.6% from 11.6 million a year earlier and unchanged from the prior quarter.
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Analysis
Scilex Holding (SCLX) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Scilex Holding came in at 11.03 million, down 91.6% from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of -39.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 131.14 million in FY2024 (+0.6%), 130.3 million in FY2023 (-2.9%), 134.23 million in FY2022 (+1.0%) and 132.86 million in FY2021 (unchanged).
- Quarterly Shares Outstanding has moved between 6.89 million (Q1 2026) and 142.63 million (Q2 2023) over five years.
- Compared with a year earlier, Shares Outstanding has declined for three straight quarters, with an average decline of 49.0% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q3 2023 (growth of 961.0%); the worst was Q3 2024 (a decline of 94.6%).
- Per Business Quant data, SCLX's Shares Outstanding in the three quarters before Q2 2026 was 6.89 million (Q1 2026), 11.03 million (Q4 2025) and 11.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 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 | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 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 | 253.70 Mn |
| 10 | Scilex Holding | 31.30 Mn | 19.28 Mn | 3.97 Mn | 6.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.89 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 | 120.19 Mn |
| Mar 31, 2024 | 102.41 Mn |
| Dec 31, 2023 | 130.30 Mn |
| Sep 30, 2023 | 139.81 Mn |
| Jun 30, 2023 | 142.63 Mn |
| Mar 31, 2023 | 141.66 Mn |
| Dec 31, 2022 | 134.23 Mn |
| Sep 30, 2022 | 13.18 Mn |
| Jun 30, 2022 | 17.21 Mn |
| Mar 31, 2022 | 17.25 Mn |
| Dec 31, 2021 | 132.86 Mn |
| Sep 30, 2021 | 17.25 Mn |
API Access
Scilex Holding 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=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();