Scilex Holding (SCLX) Prepaid Assets (2021 - 2026)
Scilex Holding (SCLX) posted Prepaid Assets of $5.84 million for Q2 2026, down 43.2% from $10.29 million a year earlier but up 38.2% from the prior quarter.
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Analysis
Scilex Holding (SCLX) Prepaid Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Scilex Holding's Prepaid Assets came in at $7.34 million, down 21.8% from FY2024.
- Annual Prepaid Assets shows a four-year compound annual growth rate of 41.4% (FY2021 to FY2025).
- In prior years, Scilex Holding's Prepaid Assets was $9.4 million in FY2024 (+132.1%), $4.05 million in FY2023 (-15.8%), $4.81 million in FY2022 (+162.1%) and $1.84 million in FY2021.
- Quarterly Prepaid Assets has run from a low of $116,536 in Q3 2021 to a high of $10.29 million in Q2 2025 over five years.
- On a year-over-year basis, Prepaid Assets has declined in each of the last four quarters, with growth averaging 75.0% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q2 2025, with growth of 319.3%; the weakest was Q3 2025, with a decline of 55.4%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $4.23 million (Q1 2026), $7.34 million (Q4 2025) and $2.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Scilex Holding | 31.30 Mn | 19.28 Mn | 3.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.84 Mn |
| Mar 31, 2026 | 4.23 Mn |
| Dec 31, 2025 | 7.34 Mn |
| Sep 30, 2025 | 2.59 Mn |
| Jun 30, 2025 | 10.29 Mn |
| Mar 31, 2025 | 9.27 Mn |
| Dec 31, 2024 | 9.40 Mn |
| Sep 30, 2024 | 5.79 Mn |
| Jun 30, 2024 | 2.45 Mn |
| Mar 31, 2024 | 2.73 Mn |
| Dec 31, 2023 | 4.05 Mn |
| Sep 30, 2023 | 3.16 Mn |
| Jun 30, 2023 | 4.45 Mn |
| Mar 31, 2023 | 4.52 Mn |
| Dec 31, 2022 | 4.81 Mn |
| Sep 30, 2022 | 130,788.00 |
| Jun 30, 2022 | 261,576.00 |
| Mar 31, 2022 | 396,901.00 |
| Dec 31, 2021 | 1.84 Mn |
| Sep 30, 2021 | 116,536.00 |
API Access
Scilex Holding Prepaid 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=prepaid-assets&ticker=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();