Sol-Gel Technologies (SLGL) Total Non-Current Liabilities (2016 - 2026)
Sol-Gel Technologies (SLGL) recorded Total Non-Current Liabilities of $733,000 in Q2 2026, down 70.3% from $2.47 million a year earlier and down 11.8% from the prior quarter.
Sol-Gel Technologies (SLGL) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Sol-Gel Technologies reported Total Non-Current Liabilities of $935,000, down 45.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.71 million in FY2024 (-19.3%), $2.12 million in FY2023 (+95.3%), $1.09 million in FY2022 (-42.9%) and $1.9 million in FY2021 (-19.0%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2016.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 17.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 95.3% in Q4 2023, against a decline of 70.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $831,000 (Q1 2026), $935,000 (Q4 2025) and $2.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Sol-Gel Technologies | 172.72 Mn | 27.14 Mn | - | 733,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 733,000.00 |
| Mar 31, 2026 | 831,000.00 |
| Dec 31, 2025 | 935,000.00 |
| Sep 30, 2025 | 2.42 Mn |
| Jun 30, 2025 | 2.47 Mn |
| Mar 31, 2025 | 2.32 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.90 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 2.12 Mn |
| Sep 30, 2023 | 2.23 Mn |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 1.90 Mn |
| Sep 30, 2021 | 1.86 Mn |
Sol-Gel Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SLGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SLGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();