Scilex Holding (SCLX) Non-Current Assets (2020 - 2026)
Scilex Holding's Non-Current Assets was $217.33 million in Q2 2026, up 333.9% from $50.08 million a year earlier but down 13.6% from the prior quarter.
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Analysis
Scilex Holding (SCLX) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Scilex Holding came in at $326.62 million, up 535.4% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 354.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $51.41 million in FY2024 (-5.7%), $54.53 million in FY2023 (-4.2%), $56.92 million in FY2022 (+3.6%) and $54.93 million in FY2021.
- Quarterly Non-Current Assets has moved between $50.08 million (Q2 2025) and $326.62 million (Q4 2025) over five years.
- Compared with a year earlier, Non-Current Assets has increased for four straight quarters, with growth averaging 198.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 535.4%); the worst was Q1 2023 (a decline of 60.9%).
- Per Business Quant data, SCLX's Non-Current Assets in the three quarters before Q2 2026 was $251.67 million (Q1 2026), $326.62 million (Q4 2025) and $259.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,172.56 Bn | 1,141.15 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 637.42 Bn | 555.95 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 504.13 Bn | 477.24 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 377.81 Bn | 332.19 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 304.36 Bn | 268.35 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 267.51 Bn | 241.20 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 242.18 Bn | 197.58 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 194.29 Bn | 168.48 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 172.82 Bn | 119.47 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Scilex Holding | 17.92 Mn | 8.06 Mn | 3.97 Mn | 217.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 217.33 Mn |
| Mar 31, 2026 | 251.67 Mn |
| Dec 31, 2025 | 326.62 Mn |
| Sep 30, 2025 | 259.39 Mn |
| Jun 30, 2025 | 50.08 Mn |
| Mar 31, 2025 | 50.27 Mn |
| Dec 31, 2024 | 51.41 Mn |
| Sep 30, 2024 | 60.58 Mn |
| Jun 30, 2024 | 54.13 Mn |
| Mar 31, 2024 | 53.50 Mn |
| Dec 31, 2023 | 54.53 Mn |
| Sep 30, 2023 | 55.05 Mn |
| Jun 30, 2023 | 57.22 Mn |
| Mar 31, 2023 | 54.95 Mn |
| Dec 31, 2022 | 56.92 Mn |
| Sep 30, 2022 | 101.29 Mn |
| Jun 30, 2022 | 141.69 Mn |
| Mar 31, 2022 | 140.45 Mn |
| Dec 31, 2021 | 54.93 Mn |
| Sep 30, 2021 | 139.41 Mn |
API Access
Scilex Holding Non-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=non-current-assets&ticker=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();