Cogent Biosciences (COGT) Interest Expenses (2025 - 2026)
Cogent Biosciences (COGT) recorded Interest Expenses of $1.22 million in Q2 2026, up 287.6% from $314,000 a year earlier and up 0.3% from the prior quarter.
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Analysis
Cogent Biosciences (COGT) Interest Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Cogent Biosciences' Interest Expenses came in at $5.18 million as of Jun 30, 2026; for FY2025, it was $3.06 million.
- Quarterly Interest Expenses has ranged from $314,000 in Q2 2025 to $1.46 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.21 million (Q1 2026), $1.29 million (Q4 2025) and $1.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Cogent Biosciences | 5.49 Bn | 5.49 Bn | - | 1.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 1.21 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 1.46 Mn |
| Jun 30, 2025 | 314,000.00 |
API Access
Cogent Biosciences Interest 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=interest-expenses&ticker=COGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();