Scynexis (SCYX) Total Liabilities (2013 - 2026)
Scynexis (SCYX) recorded Total Liabilities of $8.04 million in Q2 2026, down 50.5% from $16.23 million a year earlier and down 77.9% from the prior quarter.
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Analysis
Scynexis (SCYX) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Scynexis reported Total Liabilities of $9.65 million, down 72.9% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a five-year compound annual growth rate of -34.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $35.57 million in FY2024 (-35.9%), $55.45 million in FY2023 (-34.4%), $84.58 million in FY2022 (+7.6%) and $78.58 million in FY2021 (-1.5%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q1 2016.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 33.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 165.7% in Q3 2021, against a decline of 72.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.32 million (Q1 2026), $9.65 million (Q4 2025) and $14.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Scynexis | 45.97 Mn | -25.13 Mn | - | 8.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.04 Mn |
| Mar 31, 2026 | 36.32 Mn |
| Dec 31, 2025 | 9.65 Mn |
| Sep 30, 2025 | 14.64 Mn |
| Jun 30, 2025 | 16.23 Mn |
| Mar 31, 2025 | 17.38 Mn |
| Dec 31, 2024 | 35.57 Mn |
| Sep 30, 2024 | 40.51 Mn |
| Jun 30, 2024 | 47.40 Mn |
| Mar 31, 2024 | 44.15 Mn |
| Dec 31, 2023 | 55.45 Mn |
| Sep 30, 2023 | 56.56 Mn |
| Jun 30, 2023 | 61.78 Mn |
| Mar 31, 2023 | 100.21 Mn |
| Dec 31, 2022 | 84.58 Mn |
| Sep 30, 2022 | 95.08 Mn |
| Jun 30, 2022 | 90.13 Mn |
| Mar 31, 2022 | 72.64 Mn |
| Dec 31, 2021 | 78.58 Mn |
| Sep 30, 2021 | 72.27 Mn |
API Access
Scynexis 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=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();