Scilex Holding (SCLX) Research & Development (2022 - 2026)
Scilex Holding's Research & Development was $3.34 million in Q2 2026, down 46.1% from $6.19 million a year earlier but up 3.9% from the prior quarter.
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Analysis
Scilex Holding (SCLX) Research & Development (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Scilex Holding's Research & Development was $18.61 million through Jun 30, 2026, up 41.3% year-over-year; for FY2025, it came in at $20.71 million, up 114.8% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- In earlier years, Research & Development was $9.64 million in FY2024 (-24.4%), $12.75 million in FY2023 (+40.8%), $9.05 million in FY2022 (-1.6%) and $9.2 million in FY2021 (-7.6%).
- Quarterly Research & Development has moved between $1.24 million (Q3 2022) and $8.17 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with growth averaging 56.3%.
- The best year-over-year quarter for Research & Development over five years was Q4 2025 (growth of 274.7%); the worst was Q2 2026 (a decline of 46.1%).
- Per Business Quant data, SCLX's Research & Development in the three quarters before Q2 2026 was $3.21 million (Q1 2026), $8.17 million (Q4 2025) and $3.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | 3.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.34 Mn |
| Mar 31, 2026 | 3.21 Mn |
| Dec 31, 2025 | 8.17 Mn |
| Sep 30, 2025 | 3.90 Mn |
| Jun 30, 2025 | 6.19 Mn |
| Mar 31, 2025 | 2.46 Mn |
| Dec 31, 2024 | 2.18 Mn |
| Sep 30, 2024 | 2.35 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 3.11 Mn |
| Dec 31, 2023 | 2.73 Mn |
| Sep 30, 2023 | 4.07 Mn |
| Jun 30, 2023 | 3.20 Mn |
| Mar 31, 2023 | 2.74 Mn |
| Dec 31, 2022 | 2.60 Mn |
| Sep 30, 2022 | 1.24 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 2.63 Mn |
API Access
Scilex Holding Research & Development 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=research-and-development&ticker=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();