Cerenome (CNSY) Return on Sales [ROS] (2011 - 2026)
Cerenome (CNSY) recorded Return on Sales [ROS] of -2203.65% in Q2 2026, down 2093.00 percentage points from -110.65% a year earlier and down 1511.14 percentage points from the prior quarter.
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Analysis
Cerenome (CNSY) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Cerenome's Return on Sales [ROS] came in at -628.12% as of Jun 30, 2026, down 387.89 percentage points year-over-year; for FY2025, it was -293.46%, down 41.14 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of +8506.54 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -252.32% in FY2024 (+18.82 pp), -271.14% in FY2023 (+8528.86 pp) and -8800.00% in FY2022.
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -347.94 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6904.20 percentage points in Q3 2023, against a drop of 2093.00 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -692.51% (Q1 2026), -420.04% (Q4 2025) and -320.83% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Cerenome | 11.70 Mn | -35.48 Mn | - | -2,203.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,203.65% |
| Mar 31, 2026 | -692.51% |
| Dec 31, 2025 | -420.04% |
| Sep 30, 2025 | -320.83% |
| Jun 30, 2025 | -110.65% |
| Mar 31, 2025 | -333.90% |
| Dec 31, 2024 | -276.20% |
| Sep 30, 2024 | -260.92% |
| Jun 30, 2024 | -289.05% |
| Mar 31, 2024 | -196.72% |
| Dec 31, 2023 | -293.83% |
| Sep 30, 2023 | -73.89% |
| Jun 30, 2023 | -78.42% |
| Mar 31, 2023 | -933.20% |
| Dec 31, 2022 | -3,690.07% |
| Sep 30, 2022 | -6,978.08% |
| Jun 30, 2022 | -775.72% |
| Mar 31, 2022 | -467.28% |
| Mar 31, 2019 | -308.11% |
| Dec 31, 2018 | -134.32% |
API Access
Cerenome Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CNSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();