CNS Pharmaceuticals (CNSP) Return on Capital Employed [ROCE] (2019 - 2025)
CNS Pharmaceuticals (CNSP) recorded Return on Capital Employed [ROCE] of -260.14% in Q4 2025, up 9.30 percentage points from -269.44% a year earlier but down 142.58 percentage points from the prior quarter.
CNS Pharmaceuticals (CNSP) Return on Capital Employed [ROCE] (2019 - 2025) Analysis & Trends
For FY2025, CNS Pharmaceuticals reported Return on Capital Employed [ROCE] of -350.48%, up 206.27 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -255.72 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -556.76% in FY2024 (+959.71 pp), -1516.47% in FY2023 (-1261.38 pp), -255.09% in FY2022 (-105.92 pp) and -149.17% in FY2021 (-54.41 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -5800.22% in Q3 2023 to -88.08% in Q1 2021 over the past five years.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 3864.32 percentage points in Q3 2024, against a drop of 5663.63 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -117.55% (Q3 2025), -122.21% (Q2 2025) and -185.83% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | CNS Pharmaceuticals | 2.36 Mn | -39.88 Mn | - | -260.14% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -260.14% |
| Sep 30, 2025 | -117.55% |
| Jun 30, 2025 | -122.21% |
| Mar 31, 2025 | -185.83% |
| Dec 31, 2024 | -269.44% |
| Sep 30, 2024 | -1,935.90% |
| Sep 30, 2023 | -5,800.22% |
| Jun 30, 2023 | -596.23% |
| Mar 31, 2023 | -270.07% |
| Dec 31, 2022 | -237.61% |
| Sep 30, 2022 | -136.60% |
| Jun 30, 2022 | -104.10% |
| Mar 31, 2022 | -124.72% |
| Dec 31, 2021 | -192.17% |
| Sep 30, 2021 | -136.03% |
| Jun 30, 2021 | -104.83% |
| Mar 31, 2021 | -88.08% |
| Dec 31, 2020 | -125.83% |
| Sep 30, 2020 | -301.76% |
| Jun 30, 2020 | -158.45% |
CNS Pharmaceuticals Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CNSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CNSP", "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-capital-employed-%5Broce%5D&ticker=CNSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();