Scilex Holding (SCLX) Shares Outstanding (Diluted) (2020 - 2026)
Scilex Holding (SCLX) reported Shares Outstanding (Diluted) of 6.89 million for 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 (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Scilex Holding posted Shares Outstanding (Diluted) of 11.03 million, down 91.8% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -39.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 134.08 million in FY2024 (+2.9%), 130.3 million in FY2023 (-2.9%), 134.23 million in FY2022 (+1.0%) and 132.86 million in FY2021 (unchanged).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 6.89 million in Q1 2026 and a high of 142.63 million in Q2 2023.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last six quarters, with an average decline of 56.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2023 (growth of 961.0%); the low point was Q4 2025 (a decline of 91.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 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 (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 | 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 | 134.08 Mn |
| Sep 30, 2024 | 118.57 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 | 133.03 Mn |
| Dec 31, 2021 | 132.86 Mn |
| Sep 30, 2021 | 17.25 Mn |
API Access
Scilex Holding 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=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();