Cerenome (CNSY) Return on Capital Employed [ROCE] (2011 - 2026)
Cerenome (CNSY) recorded Return on Capital Employed [ROCE] of -314.06% in Q2 2026, up 14.55 percentage points from -328.61% a year earlier but down 128.33 percentage points from the prior quarter.
Cerenome (CNSY) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2023, Cerenome reported Return on Capital Employed [ROCE] of -193.04%, down 15.01 percentage points from FY2022.
- Annual Return on Capital Employed [ROCE] has declined for four straight years, with a five-year change of -107.51 percentage points (FY2018 to FY2023).
- Across earlier years, Return on Capital Employed [ROCE] came in at -178.03% in FY2022 (-66.23 pp), -111.81% in FY2021 (-6.81 pp), -105.00% in FY2020 (-64.91 pp) and -40.08% in FY2019 (+45.45 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -1505.15% in Q3 2025 to -71.40% in Q4 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 215.54 percentage points in Q4 2021, against a drop of 660.01 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -185.74% (Q1 2026), -295.13% (Q4 2025) and -1505.15% (Q3 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 | Cerenome | 11.70 Mn | -35.48 Mn | - | -314.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -314.06% |
| Mar 31, 2026 | -185.74% |
| Dec 31, 2025 | -295.13% |
| Sep 30, 2025 | -1,505.15% |
| Jun 30, 2025 | -328.61% |
| Dec 31, 2023 | -829.45% |
| Sep 30, 2023 | -469.92% |
| Jun 30, 2023 | -479.69% |
| Mar 31, 2023 | -294.80% |
| Dec 31, 2022 | -169.44% |
| Sep 30, 2022 | -122.42% |
| Jun 30, 2022 | -103.53% |
| Mar 31, 2022 | -76.06% |
| Dec 31, 2021 | -71.40% |
| Sep 30, 2021 | -89.81% |
| Jun 30, 2021 | -87.66% |
| Mar 31, 2021 | -139.34% |
| Dec 31, 2020 | -286.95% |
| Sep 30, 2020 | -192.07% |
| Jun 30, 2020 | -56.46% |
Cerenome 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=CNSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CNSY", "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=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();