Scilex Holding (SCLX) Current Assets (2020 - 2026)
Scilex Holding (SCLX) posted Current Assets of $36.24 million for Q2 2026, up 7.6% from $33.67 million a year earlier but down 13.7% from the prior quarter.
Scilex Holding (SCLX) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Scilex Holding's Current Assets came in at $38.36 million, down 7.7% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of 316.8% (FY2020 to FY2025).
- In prior years, Scilex Holding's Current Assets was $41.55 million in FY2024 (-11.2%), $46.78 million in FY2023 (+58.0%), $29.61 million in FY2022 (+28.7%) and $23 million in FY2021.
- Quarterly Current Assets has run from a low of $165,749 in Q3 2022 to a high of $69.25 million in Q2 2023 over five years.
- On a year-over-year basis, Current Assets increased in three of the last eight quarters, with an average decline of 3.1%.
- The strongest year-over-year quarter for Current Assets in the past five years was Q4 2023, with growth of 58.0%; the weakest was Q3 2025, with a decline of 58.6%.
- According to Business Quant data, Current Assets for the three prior quarters was $41.97 million (Q1 2026), $38.36 million (Q4 2025) and $16.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 12.54 Bn |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | 36.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.24 Mn |
| Mar 31, 2026 | 41.97 Mn |
| Dec 31, 2025 | 38.36 Mn |
| Sep 30, 2025 | 16.49 Mn |
| Jun 30, 2025 | 33.67 Mn |
| Mar 31, 2025 | 28.70 Mn |
| Dec 31, 2024 | 41.55 Mn |
| Sep 30, 2024 | 39.86 Mn |
| Jun 30, 2024 | 50.42 Mn |
| Mar 31, 2024 | 37.75 Mn |
| Dec 31, 2023 | 46.78 Mn |
| Sep 30, 2023 | 25.48 Mn |
| Jun 30, 2023 | 69.25 Mn |
| Mar 31, 2023 | 31.10 Mn |
| Dec 31, 2022 | 29.61 Mn |
| Sep 30, 2022 | 165,749.00 |
| Jun 30, 2022 | 612,848.00 |
| Mar 31, 2022 | 524,341.00 |
| Dec 31, 2021 | 23.00 Mn |
| Sep 30, 2021 | 232,178.00 |
Scilex Holding Current 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=current-assets&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();