Cel Sci (CVM) Total Non-Current Liabilities (2010 - 2026)
Cel Sci's Total Non-Current Liabilities was $10.27 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 22.1% from $13.19 million a year earlier and down 4.0% from the prior quarter.
Cel Sci (CVM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at Cel Sci came in at $12.07 million, down 13.8% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -6.9% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $14 million in FY2024 (-18.6%), $17.19 million in FY2023 (-5.7%), $18.24 million in FY2022 (-5.1%) and $19.21 million in FY2021 (+11.3%).
- The fiscal Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2013.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 17 straight quarters, with an average decline of 16.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2021 (growth of 11.3%); the worst was fiscal Q3 2026 (a decline of 22.1%).
- Per Business Quant data, CVM's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $10.71 million (Q2 2026), $11.63 million (Q1 2026) and $12.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Cel Sci | 3.11 Mn | -22.54 Mn | - | 10.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.27 Mn |
| Mar 31, 2026 | 10.71 Mn |
| Dec 31, 2025 | 11.63 Mn |
| Sep 30, 2025 | 12.07 Mn |
| Jun 30, 2025 | 13.19 Mn |
| Mar 31, 2025 | 13.68 Mn |
| Dec 31, 2024 | 14.27 Mn |
| Sep 30, 2024 | 14.00 Mn |
| Jun 30, 2024 | 15.47 Mn |
| Mar 31, 2024 | 15.62 Mn |
| Dec 31, 2023 | 15.93 Mn |
| Sep 30, 2023 | 17.19 Mn |
| Jun 30, 2023 | 17.40 Mn |
| Mar 31, 2023 | 17.92 Mn |
| Dec 31, 2022 | 17.84 Mn |
| Sep 30, 2022 | 18.24 Mn |
| Jun 30, 2022 | 18.04 Mn |
| Mar 31, 2022 | 18.91 Mn |
| Dec 31, 2021 | 18.20 Mn |
| Sep 30, 2021 | 19.21 Mn |
Cel Sci 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=CVM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CVM", "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=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();