Cerenome (CNSY) Operating Margin (2011 - 2026)
Cerenome's Operating Margin was -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) Operating Margin (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cerenome's Operating Margin was -628.12% through Jun 30, 2026, down 387.89 percentage points year-over-year; for FY2025, it was -293.46%, down 41.14 percentage points from FY2024.
- Operating Margin shows a three-year change of +8506.54 percentage points (FY2022 to FY2025).
- In earlier years, Operating Margin was -252.32% in FY2024 (+18.82 pp), -271.14% in FY2023 (+8528.86 pp) and -8800.00% in FY2022.
- The Q2 2026 figure marks the lowest quarterly Operating Margin since Q4 2022.
- Compared with a year earlier, Operating Margin has declined for four straight quarters, with an average year-over-year change of -347.94 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q3 2023 (a gain of 6904.20 percentage points); the worst was Q2 2026 (a drop of 2093.00 percentage points).
- Per Business Quant data, CNSY's Operating Margin in the three quarters before Q2 2026 was -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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 28.37% |
| 10 | Cerenome | 12.04 Mn | -35.14 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% |
| Mar 31, 2019 | -308.11% |
| Dec 31, 2018 | -134.32% |
| Sep 30, 2018 | -259.56% |
| Jun 30, 2018 | -279.70% |
API Access
Cerenome Operating Margin 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=operating-margin&ticker=CNSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();