Cogent Biosciences (COGT) Capital Expenditures (2017 - 2026)
Cogent Biosciences (COGT) posted Capital Expenditures of $370,000 for Q2 2026, up 182.4% from $131,000 a year earlier but down 17.6% from the prior quarter.
Cogent Biosciences (COGT) Capital Expenditures (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Cogent Biosciences was $1.7 million, up 64.1% year-over-year; for FY2025, it was $1.55 million, up 171.2% from FY2024.
- Annual Capital Expenditures shows a four-year compound annual growth rate of -2.5% (FY2021 to FY2025).
- In prior years, Cogent Biosciences' Capital Expenditures was $573,000 in FY2024 (-79.5%), $2.8 million in FY2023 (-59.3%), $6.86 million in FY2022 (+299.2%) and $1.72 million in FY2021.
- Quarterly Capital Expenditures has run from a low of $65,000 in Q3 2025 to a high of $3.31 million in Q3 2022 over five years.
- On a year-over-year basis, Capital Expenditures increased in four of the last eight quarters, with growth averaging 224.3%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2025, with growth of 981.3%; the weakest was Q3 2023, with a decline of 96.3%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $449,000 (Q1 2026), $811,000 (Q4 2025) and $65,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Cogent Biosciences | 5.37 Bn | 2.42 Bn | - | 370,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370,000.00 |
| Mar 31, 2026 | 449,000.00 |
| Dec 31, 2025 | 811,000.00 |
| Sep 30, 2025 | 65,000.00 |
| Jun 30, 2025 | 131,000.00 |
| Mar 31, 2025 | 547,000.00 |
| Dec 31, 2024 | 75,000.00 |
| Sep 30, 2024 | 280,000.00 |
| Jun 30, 2024 | 148,000.00 |
| Mar 31, 2024 | 70,000.00 |
| Dec 31, 2023 | 315,000.00 |
| Sep 30, 2023 | 121,000.00 |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Sep 30, 2022 | 3.31 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 441,000.00 |
| Dec 31, 2021 | 433,000.00 |
| Sep 30, 2021 | 1.16 Mn |
Cogent Biosciences Capital Expenditures 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=capital-expenditures&ticker=COGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();