Scilex Holding (SCLX) Assets (2020 - 2026)
Scilex Holding's Assets was $253.56 million in Q2 2026, up 202.7% from $83.76 million a year earlier but down 13.6% from the prior quarter.
Analysis
Scilex Holding (SCLX) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Assets at Scilex Holding came in at $364.98 million, up 292.7% from FY2024.
- Assets shows a five-year compound annual growth rate of 349.2% (FY2020 to FY2025).
- In earlier years, Assets was $92.95 million in FY2024 (-8.2%), $101.31 million in FY2023 (+17.1%), $86.53 million in FY2022 (+11.0%) and $77.93 million in FY2021.
- Quarterly Assets has moved between $77.93 million (Q4 2021) and $364.98 million (Q4 2025) over five years.
- Compared with a year earlier, Assets has increased for four straight quarters, with growth averaging 115.6% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q4 2025 (growth of 292.7%); the worst was Q1 2023 (a decline of 39.0%).
- Per Business Quant data, SCLX's Assets in the three quarters before Q2 2026 was $293.64 million (Q1 2026), $364.98 million (Q4 2025) and $275.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | 253.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.56 Mn |
| Mar 31, 2026 | 293.64 Mn |
| Dec 31, 2025 | 364.98 Mn |
| Sep 30, 2025 | 275.88 Mn |
| Jun 30, 2025 | 83.76 Mn |
| Mar 31, 2025 | 78.98 Mn |
| Dec 31, 2024 | 92.95 Mn |
| Sep 30, 2024 | 100.43 Mn |
| Jun 30, 2024 | 104.54 Mn |
| Mar 31, 2024 | 91.24 Mn |
| Dec 31, 2023 | 101.31 Mn |
| Sep 30, 2023 | 80.53 Mn |
| Jun 30, 2023 | 126.46 Mn |
| Mar 31, 2023 | 86.05 Mn |
| Dec 31, 2022 | 86.53 Mn |
| Sep 30, 2022 | 101.46 Mn |
| Jun 30, 2022 | 142.30 Mn |
| Mar 31, 2022 | 140.97 Mn |
| Dec 31, 2021 | 77.93 Mn |
| Sep 30, 2021 | 139.64 Mn |
API Access
Scilex Holding Assets 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=assets&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();