Sol-Gel Technologies (SLGL) Total Liabilities (2016 - 2026)
Sol-Gel Technologies (SLGL) recorded Total Liabilities of $5.66 million in Q2 2026, down 23.8% from $7.43 million a year earlier and down 20.8% from the prior quarter.
Powered by 
Analysis
Sol-Gel Technologies (SLGL) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Sol-Gel Technologies reported Total Liabilities of $7.11 million, up 1.6% from FY2024.
- Annual Total Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $7 million in FY2024 (+5.3%), $6.64 million in FY2023 (+50.5%), $4.42 million in FY2022 (-67.5%) and $13.6 million in FY2021 (+63.6%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q1 2023.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 1.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 76.6% in Q3 2023, against a decline of 67.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.14 million (Q1 2026), $7.11 million (Q4 2025) and $8.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,159.63 Bn | 1,128.22 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 627.73 Bn | 546.26 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 511.44 Bn | 484.55 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.62 Bn | 321.00 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 296.61 Bn | 260.60 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.13 Bn | 234.81 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.70 Bn | 191.10 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.41 Bn | 167.61 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.25 Bn | 117.90 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Sol-Gel Technologies | 186.60 Mn | 41.01 Mn | - | 5.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.66 Mn |
| Mar 31, 2026 | 7.14 Mn |
| Dec 31, 2025 | 7.11 Mn |
| Sep 30, 2025 | 8.56 Mn |
| Jun 30, 2025 | 7.43 Mn |
| Mar 31, 2025 | 6.89 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 8.28 Mn |
| Jun 30, 2024 | 7.10 Mn |
| Mar 31, 2024 | 7.26 Mn |
| Dec 31, 2023 | 6.64 Mn |
| Sep 30, 2023 | 6.74 Mn |
| Jun 30, 2023 | 6.81 Mn |
| Mar 31, 2023 | 5.44 Mn |
| Dec 31, 2022 | 4.42 Mn |
| Sep 30, 2022 | 3.81 Mn |
| Jun 30, 2022 | 4.63 Mn |
| Mar 31, 2022 | 5.93 Mn |
| Dec 31, 2021 | 13.60 Mn |
| Sep 30, 2021 | 11.38 Mn |
API Access
Sol-Gel Technologies Total 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-liabilities&ticker=SLGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SLGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();