Cel Sci (CVM) Return on Assets [ROA] (2011 - 2026)
Cel Sci's Return on Assets [ROA] came in at -114.10% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.05 percentage points from -118.15% a year earlier but down 4.66 percentage points from the prior quarter.
Cel Sci (CVM) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Cel Sci's Return on Assets [ROA] was -89.98%, up 3.63 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -1.20 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Assets [ROA] was -93.60% in FY2024 (-14.16 pp), -79.44% in FY2023 (-20.67 pp), -58.77% in FY2022 (+3.41 pp) and -62.19% in FY2021 (+26.59 pp).
- The five-year range for quarterly Return on Assets [ROA] is -118.15% (fiscal Q3 2025) to -49.06% (fiscal Q4 2021).
- Year-over-year, Return on Assets [ROA] has increased for four consecutive quarters, with an average year-over-year change of -1.60 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q4 2021 (a gain of 22.60 percentage points), and the weakest in fiscal Q3 2023 (a drop of 34.68 percentage points).
- Business Quant data shows CVM's Return on Assets [ROA] at -109.44% (Q2 2026), -91.22% (Q1 2026) and -102.33% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | Cel Sci | 3.69 Mn | -21.96 Mn | - | -114.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -114.10% |
| Mar 31, 2026 | -109.44% |
| Dec 31, 2025 | -91.22% |
| Sep 30, 2025 | -102.33% |
| Jun 30, 2025 | -118.15% |
| Mar 31, 2025 | -109.79% |
| Dec 31, 2024 | -101.57% |
| Sep 30, 2024 | -103.22% |
| Jun 30, 2024 | -102.37% |
| Mar 31, 2024 | -99.43% |
| Dec 31, 2023 | -102.34% |
| Sep 30, 2023 | -100.17% |
| Jun 30, 2023 | -93.48% |
| Mar 31, 2023 | -80.95% |
| Dec 31, 2022 | -73.35% |
| Sep 30, 2022 | -67.15% |
| Jun 30, 2022 | -58.80% |
| Mar 31, 2022 | -55.78% |
| Dec 31, 2021 | -53.67% |
| Sep 30, 2021 | -49.06% |
Cel Sci Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=CVM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=CVM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();