Sol-Gel Technologies (SLGL) Interest Expenses (2018 - 2026)
Sol-Gel Technologies (SLGL) reported Interest Expenses of $481,000 for Q2 2026, up 26.6% from $380,000 a year earlier.
Sol-Gel Technologies (SLGL) Interest Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sol-Gel Technologies' Interest Expenses came in at $1.77 million, up 9.4% year-over-year; for FY2025, it was $1.41 million, down 1.6% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By year, Interest Expenses came in at $1.43 million in FY2024 (-30.6%), $2.07 million in FY2023 (+56.5%), $1.32 million in FY2022 (+414.0%) and $257,000 in FY2021 (-72.7%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses since Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Sol-Gel Technologies | 206.96 Mn | 61.37 Mn | - | 481,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 481,000.00 |
| Jun 30, 2025 | 380,000.00 |
| Jun 30, 2024 | 352,000.00 |
| Jun 30, 2023 | 557,000.00 |
| Jun 30, 2022 | 329,000.00 |
| Jun 30, 2021 | 9,000.00 |
| Jun 30, 2020 | 481,000.00 |
| Jun 30, 2019 | 359,000.00 |
| Jun 30, 2018 | 379,000.00 |
Sol-Gel Technologies Interest 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=interest-expenses&ticker=SLGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SLGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();