Sol-Gel Technologies (SLGL) Operating Expenses (2017 - 2026)
Sol-Gel Technologies (SLGL) recorded Operating Expenses of $4.75 million in Q2 2026, down 21.2% from $6.03 million a year earlier but up 19.9% from the prior quarter.
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Analysis
Sol-Gel Technologies (SLGL) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Sol-Gel Technologies' Operating Expenses came in at $19.57 million as of Jun 30, 2026, down 31.8% year-over-year; for FY2025, it was $26.98 million, up 14.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $23.55 million in FY2024 (-23.8%), $30.91 million in FY2023 (+53.6%), $20.13 million in FY2022 (-30.2%) and $28.83 million in FY2021 (-26.1%).
- Quarterly Operating Expenses has ranged from $3.81 million in Q2 2024 to $11.36 million in Q1 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 90.9% in Q1 2023, against a decline of 60.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.96 million (Q1 2026), $4.16 million (Q4 2025) and $6.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Sol-Gel Technologies | 193.50 Mn | 47.91 Mn | - | 4.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.75 Mn |
| Mar 31, 2026 | 3.96 Mn |
| Dec 31, 2025 | 4.16 Mn |
| Sep 30, 2025 | 6.69 Mn |
| Jun 30, 2025 | 6.03 Mn |
| Mar 31, 2025 | 10.10 Mn |
| Dec 31, 2024 | 6.38 Mn |
| Sep 30, 2024 | 6.19 Mn |
| Jun 30, 2024 | 3.81 Mn |
| Mar 31, 2024 | 7.18 Mn |
| Dec 31, 2023 | 5.90 Mn |
| Sep 30, 2023 | 6.53 Mn |
| Jun 30, 2023 | 7.12 Mn |
| Mar 31, 2023 | 11.36 Mn |
| Dec 31, 2022 | 6.31 Mn |
| Sep 30, 2022 | 3.89 Mn |
| Jun 30, 2022 | 3.98 Mn |
| Mar 31, 2022 | 5.95 Mn |
| Dec 31, 2021 | 6.82 Mn |
| Sep 30, 2021 | 8.12 Mn |
API Access
Sol-Gel Technologies Operating Expenses 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=operating-expenses&ticker=SLGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();