Scilex Holding (SCLX) Revenue (2022 - 2026)
Scilex Holding (SCLX) posted Revenue of $7.64 million for Q2 2026, down 22.8% from $9.9 million a year earlier and down 11.3% from the prior quarter.
Scilex Holding (SCLX) Revenue (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Scilex Holding was $31.66 million, down 28.5% year-over-year; for FY2025, it came in at $30.3 million, down 46.5% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Scilex Holding's Revenue was $56.6 million in FY2024 (+21.1%), $46.74 million in FY2023 (+22.9%), $38.03 million in FY2022 (+21.4%) and $31.32 million in FY2021 (+32.9%).
- Quarterly Revenue has run from a low of $4.84 million in Q4 2025 to a high of $16.37 million in Q2 2024 over five years.
- On a year-over-year basis, Revenue increased in three of the last eight quarters, with an average decline of 10.6%.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2026, with growth of 72.1%; the weakest was Q4 2025, with a decline of 67.5%.
- According to Business Quant data, Revenue for the three prior quarters was $8.61 million (Q1 2026), $4.84 million (Q4 2025) and $10.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Scilex Holding | 31.59 Mn | 19.56 Mn | 3.97 Mn | 7.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.64 Mn |
| Mar 31, 2026 | 8.61 Mn |
| Dec 31, 2025 | 4.84 Mn |
| Sep 30, 2025 | 10.56 Mn |
| Jun 30, 2025 | 9.90 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 14.91 Mn |
| Sep 30, 2024 | 14.44 Mn |
| Jun 30, 2024 | 16.37 Mn |
| Mar 31, 2024 | 10.88 Mn |
| Dec 31, 2023 | 13.46 Mn |
| Sep 30, 2023 | 10.12 Mn |
| Jun 30, 2023 | 12.58 Mn |
| Mar 31, 2023 | 10.58 Mn |
| Dec 31, 2022 | 11.92 Mn |
| Sep 30, 2022 | 11.38 Mn |
| Jun 30, 2022 | 7.93 Mn |
| Mar 31, 2022 | 6.81 Mn |
Scilex Holding Revenue 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=revenue&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();