Scilex Holding (SCLX) Selling, General & Administrative (2022 - 2026)
Scilex Holding (SCLX) posted Selling, General & Administrative of $27.96 million for Q2 2026, up 40.9% from $19.84 million a year earlier but down 9.9% from the prior quarter.
Scilex Holding (SCLX) Selling, General & Administrative (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Scilex Holding was $277.98 million, up 145.9% year-over-year; for FY2025, it was $266.88 million, up 124.2% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 44.1% (FY2020 to FY2025).
- In prior years, Scilex Holding's Selling, General & Administrative was $119.02 million in FY2024 (-0.5%), $119.64 million in FY2023 (+84.4%), $64.9 million in FY2022 (+28.3%) and $50.58 million in FY2021 (+17.7%).
- Quarterly Selling, General & Administrative has run from a low of $10.91 million in Q1 2022 to a high of $188.82 million in Q3 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 71.5%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2025, with growth of 535.0%; the weakest was Q3 2024, with a decline of 26.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $31.03 million (Q1 2026), $30.16 million (Q4 2025) and $188.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | 27.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.96 Mn |
| Mar 31, 2026 | 31.03 Mn |
| Dec 31, 2025 | 30.16 Mn |
| Sep 30, 2025 | 188.82 Mn |
| Jun 30, 2025 | 19.84 Mn |
| Mar 31, 2025 | 28.06 Mn |
| Dec 31, 2024 | 35.41 Mn |
| Sep 30, 2024 | 29.73 Mn |
| Jun 30, 2024 | 24.60 Mn |
| Mar 31, 2024 | 29.28 Mn |
| Dec 31, 2023 | 23.52 Mn |
| Sep 30, 2023 | 40.43 Mn |
| Jun 30, 2023 | 26.99 Mn |
| Mar 31, 2023 | 28.70 Mn |
| Dec 31, 2022 | 23.52 Mn |
| Sep 30, 2022 | 16.12 Mn |
| Jun 30, 2022 | 14.34 Mn |
| Mar 31, 2022 | 10.91 Mn |
Scilex Holding Selling, General & Administrative 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=selling-general-and-administrative&ticker=SCLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();