Cel Sci (CVM) Total Liabilities (2010 - 2026)
Cel Sci (CVM) recorded Total Liabilities of $10.4 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 21.9% from $13.31 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Cel Sci (CVM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cel Sci reported Total Liabilities of $12.2 million, down 13.6% from FY2024.
- Annual Total Liabilities has declined for seven straight fiscal years, with a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $14.12 million in FY2024 (-18.4%), $17.31 million in FY2023 (-5.7%), $18.36 million in FY2022 (-5.0%) and $19.34 million in FY2021 (-7.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Liabilities since fiscal Q2 2013.
- On a year-over-year basis, Total Liabilities has declined for 17 consecutive quarters, with an average decline of 16.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Liabilities ranged from 0.0% (fiscal Q2 2022) to 21.9% (fiscal Q3 2026).
- Per Business Quant, the preceding three fiscal quarters came in at $10.83 million (Q2 2026), $11.76 million (Q1 2026) and $12.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Cel Sci | 2.74 Mn | -22.91 Mn | - | 10.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.40 Mn |
| Mar 31, 2026 | 10.83 Mn |
| Dec 31, 2025 | 11.76 Mn |
| Sep 30, 2025 | 12.20 Mn |
| Jun 30, 2025 | 13.31 Mn |
| Mar 31, 2025 | 13.81 Mn |
| Dec 31, 2024 | 14.39 Mn |
| Sep 30, 2024 | 14.12 Mn |
| Jun 30, 2024 | 15.60 Mn |
| Mar 31, 2024 | 15.74 Mn |
| Dec 31, 2023 | 16.06 Mn |
| Sep 30, 2023 | 17.31 Mn |
| Jun 30, 2023 | 17.53 Mn |
| Mar 31, 2023 | 18.05 Mn |
| Dec 31, 2022 | 17.97 Mn |
| Sep 30, 2022 | 18.36 Mn |
| Jun 30, 2022 | 18.16 Mn |
| Mar 31, 2022 | 19.03 Mn |
| Dec 31, 2021 | 18.32 Mn |
| Sep 30, 2021 | 19.34 Mn |
API Access
Cel Sci 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=CVM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();