Cogent Biosciences (COGT) Operating Expenses (2017 - 2026)
Cogent Biosciences (COGT) posted Operating Expenses of $102.64 million for Q2 2026, up 35.8% from $75.58 million a year earlier but down 0.9% from the prior quarter.
Cogent Biosciences (COGT) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cogent Biosciences was $389.09 million, up 29.8% year-over-year; for FY2025, it was $333.36 million, up 20.8% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- In prior years, Cogent Biosciences' Operating Expenses was $275.94 million in FY2024 (+32.6%), $208.13 million in FY2023 (+40.8%), $147.84 million in FY2022 (+95.7%) and $75.55 million in FY2021 (-16.1%).
- Quarterly Operating Expenses has run from a low of $19.82 million in Q3 2021 to a high of $103.61 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 19 quarters, with growth averaging 26.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 145.5%; the weakest was Q3 2021, with a decline of 65.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $103.61 million (Q1 2026), $99.49 million (Q4 2025) and $83.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Cogent Biosciences | 5.47 Bn | 5.47 Bn | - | 102.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.64 Mn |
| Mar 31, 2026 | 103.61 Mn |
| Dec 31, 2025 | 99.49 Mn |
| Sep 30, 2025 | 83.36 Mn |
| Jun 30, 2025 | 75.58 Mn |
| Mar 31, 2025 | 74.93 Mn |
| Dec 31, 2024 | 73.73 Mn |
| Sep 30, 2024 | 75.41 Mn |
| Jun 30, 2024 | 64.39 Mn |
| Mar 31, 2024 | 62.40 Mn |
| Dec 31, 2023 | 58.23 Mn |
| Sep 30, 2023 | 59.58 Mn |
| Jun 30, 2023 | 47.09 Mn |
| Mar 31, 2023 | 43.24 Mn |
| Dec 31, 2022 | 43.75 Mn |
| Sep 30, 2022 | 36.82 Mn |
| Jun 30, 2022 | 35.86 Mn |
| Mar 31, 2022 | 31.42 Mn |
| Dec 31, 2021 | 25.64 Mn |
| Sep 30, 2021 | 19.82 Mn |
Cogent Biosciences 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=COGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();