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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Cel Sci | 58.11 Mn | 32.46 Mn | - | 10.27 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();