Cerenome (CNSY) Operating Expenses (2011 - 2026)
Cerenome (CNSY) reported Operating Expenses of $9.47 million for Q2 2026, up 223.4% from $2.93 million a year earlier and up 16.2% from the prior quarter.
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Analysis
Cerenome (CNSY) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cerenome's Operating Expenses came in at $30.6 million, up 69.2% year-over-year; for FY2025, it came in at $20.51 million, unchanged from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $20.52 million in FY2024 (+12.5%), $18.23 million in FY2023 (-8.5%), $19.94 million in FY2022 (+59.6%) and $12.49 million in FY2021 (+26.3%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2015.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 39.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2026 (growth of 223.4%); the low point was Q2 2025 (a decline of 41.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.15 million (Q1 2026), $7.11 million (Q4 2025) and $5.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Cerenome | 13.60 Mn | -33.58 Mn | - | 9.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.47 Mn |
| Mar 31, 2026 | 8.15 Mn |
| Dec 31, 2025 | 7.11 Mn |
| Sep 30, 2025 | 5.88 Mn |
| Jun 30, 2025 | 2.93 Mn |
| Mar 31, 2025 | 4.60 Mn |
| Dec 31, 2024 | 5.31 Mn |
| Sep 30, 2024 | 5.26 Mn |
| Jun 30, 2024 | 4.98 Mn |
| Mar 31, 2024 | 4.98 Mn |
| Dec 31, 2023 | 5.17 Mn |
| Sep 30, 2023 | 4.49 Mn |
| Jun 30, 2023 | 3.34 Mn |
| Mar 31, 2023 | 5.23 Mn |
| Dec 31, 2022 | 5.72 Mn |
| Sep 30, 2022 | 5.17 Mn |
| Jun 30, 2022 | 5.12 Mn |
| Mar 31, 2022 | 3.93 Mn |
| Dec 31, 2021 | 3.94 Mn |
| Sep 30, 2021 | 3.50 Mn |
API Access
Cerenome Operating Expenses 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-expenses&ticker=CNSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();