Cerenome (CNSY) Research & Development (2011 - 2026)
Cerenome's Research & Development came in at $4.27 million for Q2 2026, up 242.3% from $1.25 million a year earlier and up 48.9% from the prior quarter.
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Analysis
Cerenome (CNSY) Research & Development (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cerenome reported Research & Development of $12.51 million, up 55.4% year-over-year; for FY2025, it was $8.38 million, down 20.8% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- Going back by year, Research & Development was $10.58 million in FY2024 (+9.2%), $9.69 million in FY2023 (-0.1%), $9.7 million in FY2022 (+82.2%) and $5.32 million in FY2021 (+97.1%).
- The Q2 2026 figure represents the highest quarterly Research & Development since Q2 2016.
- Year-over-year, Research & Development has increased for three consecutive quarters, with growth averaging 28.3% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2021 (growth of 343.8%), and the weakest in Q2 2025 (a decline of 55.1%).
- Business Quant data shows CNSY's Research & Development at $2.87 million (Q1 2026), $2.94 million (Q4 2025) and $2.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Cerenome | 14.77 Mn | -32.41 Mn | - | 4.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.27 Mn |
| Mar 31, 2026 | 2.87 Mn |
| Dec 31, 2025 | 2.94 Mn |
| Sep 30, 2025 | 2.44 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.76 Mn |
| Dec 31, 2024 | 2.19 Mn |
| Sep 30, 2024 | 2.86 Mn |
| Jun 30, 2024 | 2.77 Mn |
| Mar 31, 2024 | 2.76 Mn |
| Dec 31, 2023 | 2.79 Mn |
| Sep 30, 2023 | 2.49 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | 2.98 Mn |
| Dec 31, 2022 | 2.14 Mn |
| Sep 30, 2022 | 2.95 Mn |
| Jun 30, 2022 | 2.83 Mn |
| Mar 31, 2022 | 1.79 Mn |
| Dec 31, 2021 | 1.60 Mn |
| Sep 30, 2021 | 1.49 Mn |
API Access
Cerenome Research & Development 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=research-and-development&ticker=CNSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();