Cogent Biosciences (COGT) Non Operating Interest Expenses (2025 - 2026)
Cogent Biosciences (COGT) posted Non Operating Interest Expenses of $1.22 million for 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) Non Operating Interest Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Cogent Biosciences was $5.18 million; for FY2025, it was $3.06 million.
- Quarterly Non Operating Interest Expenses has run from a low of $314,000 in Q2 2025 to a high of $1.46 million in Q3 2025 over five years.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $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) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=COGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();