Scynexis (SCYX) Total Non-Current Liabilities (2013 - 2026)
Scynexis' Total Non-Current Liabilities came in at $7.24 million for Q2 2026, down 45.6% from $13.32 million a year earlier and down 58.5% from the prior quarter.
Scynexis (SCYX) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Scynexis' Total Non-Current Liabilities was $7.43 million, down 73.1% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -30.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $27.57 million in FY2024 (-18.4%), $33.77 million in FY2023 (-48.8%), $65.93 million in FY2022 (+8.9%) and $60.52 million in FY2021 (+31.0%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2016.
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 35.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 132.7%), and the weakest in Q4 2025 (a decline of 73.1%).
- Business Quant data shows SCYX's Total Non-Current Liabilities at $17.46 million (Q1 2026), $7.43 million (Q4 2025) and $11.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Scynexis | 44.87 Mn | -26.23 Mn | - | 7.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.24 Mn |
| Mar 31, 2026 | 17.46 Mn |
| Dec 31, 2025 | 7.43 Mn |
| Sep 30, 2025 | 11.10 Mn |
| Jun 30, 2025 | 13.32 Mn |
| Mar 31, 2025 | 12.31 Mn |
| Dec 31, 2024 | 27.57 Mn |
| Sep 30, 2024 | 29.30 Mn |
| Jun 30, 2024 | 29.44 Mn |
| Mar 31, 2024 | 31.95 Mn |
| Dec 31, 2023 | 33.77 Mn |
| Sep 30, 2023 | 32.92 Mn |
| Jun 30, 2023 | 31.69 Mn |
| Mar 31, 2023 | 59.89 Mn |
| Dec 31, 2022 | 65.93 Mn |
| Sep 30, 2022 | 62.46 Mn |
| Jun 30, 2022 | 63.84 Mn |
| Mar 31, 2022 | 60.61 Mn |
| Dec 31, 2021 | 57.17 Mn |
| Sep 30, 2021 | 55.87 Mn |
Scynexis 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=SCYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();