Sol-Gel Technologies (SLGL) Research & Development (2017 - 2026)
Sol-Gel Technologies (SLGL) reported Research & Development of $3.72 million for Q2 2026, down 20.0% from $4.65 million a year earlier but up 33.5% from the prior quarter.
Sol-Gel Technologies (SLGL) Research & Development (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sol-Gel Technologies' Research & Development came in at $15.82 million, down 32.7% year-over-year; for FY2025, it came in at $22.8 million, up 28.1% from FY2024.
- Research & Development has a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- By year, Research & Development came in at $17.8 million in FY2024 (-24.4%), $23.54 million in FY2023 (+85.6%), $12.68 million in FY2022 (-37.8%) and $20.38 million in FY2021 (-27.0%).
- Five-year quarterly Research & Development spans a low of $2.04 million in Q3 2022 and a high of $9.39 million in Q1 2023.
- Year over year, Research & Development has now declined in each of the last three quarters, with growth averaging 10.4% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q1 2023 (growth of 132.2%); the low point was Q1 2026 (a decline of 68.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.79 million (Q1 2026), $3.58 million (Q4 2025) and $5.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Sol-Gel Technologies | 193.50 Mn | 47.91 Mn | - | 3.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.72 Mn |
| Mar 31, 2026 | 2.79 Mn |
| Dec 31, 2025 | 3.58 Mn |
| Sep 30, 2025 | 5.73 Mn |
| Jun 30, 2025 | 4.65 Mn |
| Mar 31, 2025 | 8.84 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Sep 30, 2024 | 4.82 Mn |
| Jun 30, 2024 | 2.44 Mn |
| Mar 31, 2024 | 5.35 Mn |
| Dec 31, 2023 | 4.17 Mn |
| Sep 30, 2023 | 4.67 Mn |
| Jun 30, 2023 | 5.31 Mn |
| Mar 31, 2023 | 9.39 Mn |
| Dec 31, 2022 | 4.22 Mn |
| Sep 30, 2022 | 2.04 Mn |
| Jun 30, 2022 | 2.38 Mn |
| Mar 31, 2022 | 4.04 Mn |
| Dec 31, 2021 | 4.99 Mn |
| Sep 30, 2021 | 5.99 Mn |
Sol-Gel Technologies 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=SLGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SLGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();