Cogent Biosciences (COGT) Research & Development (2017 - 2026)
Cogent Biosciences' Research & Development was $70.81 million in Q2 2026, up 13.8% from $62.2 million a year earlier but down 6.0% from the prior quarter.
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Analysis
Cogent Biosciences (COGT) Research & Development (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cogent Biosciences' Research & Development was $290.72 million through Jun 30, 2026, up 15.9% year-over-year; for FY2025, it was $269.78 million, up 16.0% from FY2024.
- Research & Development has now increased for five consecutive years, with a five-year compound annual growth rate of 60.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $232.66 million in FY2024 (+33.9%), $173.76 million in FY2023 (+42.9%), $121.63 million in FY2022 (+117.5%) and $55.91 million in FY2021 (+117.2%).
- Quarterly Research & Development has moved between $14.8 million (Q3 2021) and $75.56 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for 21 straight quarters, with growth averaging 19.0% over the last eight quarters.
- The year-over-year growth in Research & Development has ranged between 8.4% (Q3 2025) and 235.9% (Q4 2021) over the last five years.
- Per Business Quant data, COGT's Research & Development in the three quarters before Q2 2026 was $75.37 million (Q1 2026), $75.56 million (Q4 2025) and $68.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.70 Bn | 1,135.28 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 633.99 Bn | 552.52 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 502.96 Bn | 476.07 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 377.09 Bn | 331.47 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 303.78 Bn | 267.77 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 266.66 Bn | 240.35 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 241.39 Bn | 196.79 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 172.37 Bn | 119.01 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Cogent Biosciences | 5.35 Bn | 2.40 Bn | - | 70.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.81 Mn |
| Mar 31, 2026 | 75.37 Mn |
| Dec 31, 2025 | 75.56 Mn |
| Sep 30, 2025 | 68.99 Mn |
| Jun 30, 2025 | 62.20 Mn |
| Mar 31, 2025 | 63.03 Mn |
| Dec 31, 2024 | 62.05 Mn |
| Sep 30, 2024 | 63.61 Mn |
| Jun 30, 2024 | 54.29 Mn |
| Mar 31, 2024 | 52.71 Mn |
| Dec 31, 2023 | 48.72 Mn |
| Sep 30, 2023 | 50.13 Mn |
| Jun 30, 2023 | 38.87 Mn |
| Mar 31, 2023 | 36.04 Mn |
| Dec 31, 2022 | 36.74 Mn |
| Sep 30, 2022 | 29.94 Mn |
| Jun 30, 2022 | 29.48 Mn |
| Mar 31, 2022 | 25.47 Mn |
| Dec 31, 2021 | 20.51 Mn |
| Sep 30, 2021 | 14.80 Mn |
API Access
Cogent Biosciences 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=COGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "COGT", "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=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();