Scilex Holding (SCLX) Return on Sales [ROS] (2022 - 2026)
Scilex Holding's Return on Sales [ROS] was -385.02% in Q2 2026, down 177.88 percentage points from -207.14% a year earlier and down 11.16 percentage points from the prior quarter.
Scilex Holding (SCLX) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Scilex Holding's Return on Sales [ROS] was -1134.81% through Jun 30, 2026, down 916.28 percentage points year-over-year; for FY2025, it came in at -1141.94%, down 994.59 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -992.29 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -147.34% in FY2024 (+78.21 pp), -225.55% in FY2023 (-92.43 pp), -133.13% in FY2022 (-18.69 pp) and -114.44% in FY2021 (+35.22 pp).
- Quarterly Return on Sales [ROS] has moved between -2295.25% (Q4 2025) and -93.31% (Q3 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -503.27 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 245.59 percentage points); the worst was Q4 2025 (a drop of 2104.92 percentage points).
- Per Business Quant data, SCLX's Return on Sales [ROS] in the three quarters before Q2 2026 was -373.85% (Q1 2026), -2295.25% (Q4 2025) and -1766.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Scilex Holding | 31.02 Mn | 19.00 Mn | 3.97 Mn | -385.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -385.02% |
| Mar 31, 2026 | -373.85% |
| Dec 31, 2025 | -2,295.25% |
| Sep 30, 2025 | -1,766.21% |
| Jun 30, 2025 | -207.14% |
| Mar 31, 2025 | -557.51% |
| Dec 31, 2024 | -190.33% |
| Sep 30, 2024 | -137.97% |
| Jun 30, 2024 | -95.44% |
| Mar 31, 2024 | -178.96% |
| Dec 31, 2023 | -136.23% |
| Sep 30, 2023 | -383.56% |
| Jun 30, 2023 | -181.32% |
| Mar 31, 2023 | -240.72% |
| Dec 31, 2022 | -165.63% |
| Sep 30, 2022 | -93.31% |
| Jun 30, 2022 | -144.73% |
| Mar 31, 2022 | -129.27% |
Scilex Holding Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SCLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SCLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();