Cel Sci (CVM) Cash & Equivalents (2010 - 2026)
Cel Sci's Cash & Equivalents was $6.53 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 264.1% from $1.79 million a year earlier and up 245.2% from the prior quarter.
Cel Sci (CVM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cash & Equivalents at Cel Sci came in at $10.95 million, up 131.2% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $4.74 million in FY2024 (+14.3%), $4.15 million in FY2023 (-81.7%), $22.67 million in FY2022 (-37.1%) and $36.06 million in FY2021 (+132.5%).
- Quarterly Cash & Equivalents has moved between $384,652 (fiscal Q3 2024) and $37.11 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 98.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2022 (growth of 433.1%); the worst was fiscal Q3 2024 (a decline of 92.5%).
- Per Business Quant data, CVM's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $1.89 million (Q2 2026), $6.28 million (Q1 2026) and $10.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Cel Sci | 3.69 Mn | -21.96 Mn | - | 6.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.53 Mn |
| Mar 31, 2026 | 1.89 Mn |
| Dec 31, 2025 | 6.28 Mn |
| Sep 30, 2025 | 10.95 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 1.92 Mn |
| Dec 31, 2024 | 4.61 Mn |
| Sep 30, 2024 | 4.74 Mn |
| Jun 30, 2024 | 384,652.00 |
| Mar 31, 2024 | 5.31 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 4.15 Mn |
| Jun 30, 2023 | 5.14 Mn |
| Mar 31, 2023 | 10.05 Mn |
| Dec 31, 2022 | 18.02 Mn |
| Sep 30, 2022 | 22.67 Mn |
| Jun 30, 2022 | 28.07 Mn |
| Mar 31, 2022 | 34.28 Mn |
| Dec 31, 2021 | 37.11 Mn |
| Sep 30, 2021 | 36.06 Mn |
Cel Sci Cash & Equivalents 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=cash-and-equivalents&ticker=CVM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();