Cogent Biosciences (COGT) Non-Current Assets (2017 - 2026)
Cogent Biosciences (COGT) reported Non-Current Assets of $29.73 million for Q2 2026, down 0.3% from $29.81 million a year earlier but up 17.9% from the prior quarter.
Cogent Biosciences (COGT) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Cogent Biosciences posted Non-Current Assets of $27.25 million, down 13.3% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 35.3% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $31.43 million in FY2024 (-26.3%), $42.67 million in FY2023 (+19.0%), $35.84 million in FY2022 (+278.9%) and $9.46 million in FY2021 (+57.5%).
- Five-year quarterly Non-Current Assets spans a low of $7.88 million in Q3 2021 and a high of $69.49 million in Q3 2023.
- Year over year, Non-Current Assets has now declined in each of the last eight quarters, with an average decline of 23.7% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q2 2022 (growth of 393.7%); the low point was Q2 2025 (a decline of 50.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.2 million (Q1 2026), $27.25 million (Q4 2025) and $28.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Cogent Biosciences | 5.47 Bn | 5.47 Bn | - | 29.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.73 Mn |
| Mar 31, 2026 | 25.20 Mn |
| Dec 31, 2025 | 27.25 Mn |
| Sep 30, 2025 | 28.69 Mn |
| Jun 30, 2025 | 29.81 Mn |
| Mar 31, 2025 | 30.91 Mn |
| Dec 31, 2024 | 31.43 Mn |
| Sep 30, 2024 | 42.49 Mn |
| Jun 30, 2024 | 59.96 Mn |
| Mar 31, 2024 | 34.21 Mn |
| Dec 31, 2023 | 42.67 Mn |
| Sep 30, 2023 | 69.49 Mn |
| Jun 30, 2023 | 57.85 Mn |
| Mar 31, 2023 | 36.93 Mn |
| Dec 31, 2022 | 35.84 Mn |
| Sep 30, 2022 | 35.14 Mn |
| Jun 30, 2022 | 35.38 Mn |
| Mar 31, 2022 | 12.14 Mn |
| Dec 31, 2021 | 9.46 Mn |
| Sep 30, 2021 | 7.88 Mn |
Cogent Biosciences Non-Current Assets 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=non-current-assets&ticker=COGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();