Sol-Gel Technologies (SLGL) Return on Sales [ROS] (2018 - 2026)
Sol-Gel Technologies (SLGL) recorded Return on Sales [ROS] of -704.23% in Q2 2026, down 769.29 percentage points from 65.06% a year earlier and down 4273.67 percentage points from the prior quarter.
Sol-Gel Technologies (SLGL) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, Sol-Gel Technologies' Return on Sales [ROS] came in at -557.44% as of Jun 30, 2026, down 613.31 percentage points year-over-year; for FY2025, it came in at -38.88%, up 65.25 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +305.81 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -104.13% in FY2024 (+1781.65 pp), -1885.78% in FY2023 (-1467.44 pp), -418.34% in FY2022 (-427.81 pp) and 9.48% in FY2021 (+354.17 pp).
- Quarterly Return on Sales [ROS] has ranged from -6205.00% in Q4 2022 to 198333.33% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +437.94 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 197730.77 percentage points in Q1 2022, against a drop of 194645.67 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 3569.44% (Q1 2026), -490.09% (Q4 2025) and -1572.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 32.98% |
| 10 | Sol-Gel Technologies | 172.72 Mn | 27.14 Mn | - | -704.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -704.23% |
| Mar 31, 2026 | 3,569.44% |
| Dec 31, 2025 | -490.09% |
| Sep 30, 2025 | -1,572.00% |
| Jun 30, 2025 | 65.06% |
| Mar 31, 2025 | 879.63% |
| Dec 31, 2024 | -2,193.88% |
| Sep 30, 2024 | -15.44% |
| Jun 30, 2024 | 29.89% |
| Mar 31, 2024 | 1,440.34% |
| Dec 31, 2023 | -1,209.62% |
| Sep 30, 2023 | -2,961.03% |
| Jun 30, 2023 | -1,098.82% |
| Mar 31, 2023 | 3,687.67% |
| Dec 31, 2022 | -6,205.00% |
| Sep 30, 2022 | -1,388.89% |
| Jun 30, 2022 | -13.16% |
| Mar 31, 2022 | 198,333.33% |
| Dec 31, 2021 | 49.31% |
| Sep 30, 2021 | 95.21% |
Sol-Gel Technologies 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=SLGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SLGL", "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=SLGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();