Scynexis (SCYX) Total Current Liabilities (2013 - 2026)
Scynexis' Total Current Liabilities was $5.83 million in Q2 2026, down 46.4% from $10.86 million a year earlier and down 63.4% from the prior quarter.
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Analysis
Scynexis (SCYX) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Scynexis came in at $5.73 million, down 76.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $24.1 million in FY2024 (+47.8%), $16.3 million in FY2023 (-7.5%), $17.62 million in FY2022 (+29.4%) and $13.62 million in FY2021 (-48.4%).
- Quarterly Total Current Liabilities has moved between $5.73 million (Q4 2025) and $45.64 million (Q1 2023) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in three of the last eight quarters, with an average decline of 16.9%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2023 (growth of 252.6%); the worst was Q4 2025 (a decline of 76.2%).
- Per Business Quant data, SCYX's Total Current Liabilities in the three quarters before Q2 2026 was $15.9 million (Q1 2026), $5.73 million (Q4 2025) and $8.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Scynexis | 45.97 Mn | -25.13 Mn | - | 5.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.83 Mn |
| Mar 31, 2026 | 15.90 Mn |
| Dec 31, 2025 | 5.73 Mn |
| Sep 30, 2025 | 8.47 Mn |
| Jun 30, 2025 | 10.86 Mn |
| Mar 31, 2025 | 8.96 Mn |
| Dec 31, 2024 | 24.10 Mn |
| Sep 30, 2024 | 25.72 Mn |
| Jun 30, 2024 | 25.23 Mn |
| Mar 31, 2024 | 27.35 Mn |
| Dec 31, 2023 | 16.30 Mn |
| Sep 30, 2023 | 16.79 Mn |
| Jun 30, 2023 | 16.16 Mn |
| Mar 31, 2023 | 45.64 Mn |
| Dec 31, 2022 | 17.62 Mn |
| Sep 30, 2022 | 14.26 Mn |
| Jun 30, 2022 | 16.01 Mn |
| Mar 31, 2022 | 12.94 Mn |
| Dec 31, 2021 | 13.62 Mn |
| Sep 30, 2021 | 13.22 Mn |
API Access
Scynexis Total 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-current-liabilities&ticker=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SCYX", "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-current-liabilities&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();