Alpha Cognition (ACOG) Interest Expenses (2023 - 2025)
Alpha Cognition's Interest Expenses was -$644.00 in Q2 2025, compared with $15,216 a year earlier.
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Analysis
Alpha Cognition (ACOG) Interest Expenses (2023 - 2025) Analysis & Trends
On a trailing twelve-month basis, Alpha Cognition's Interest Expenses was $89,962 through Jun 30, 2025, up 145.9% year-over-year; for FY2024, it came in at $105,273, up 501.0% from FY2023.
- In earlier years, Interest Expenses was $17,516 in FY2023.
- The Q2 2025 figure marks the lowest quarterly Interest Expenses in data going back to Q2 2023.
- Per Business Quant data, ACOG's Interest Expenses in the three quarters before Q2 2025 was $8,807 (Q1 2025), $63,120 (Q4 2024) and $18,679 (Q3 2024).
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 | Alpha Cognition | 195.97 Mn | 13.73 Mn | 5.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -644.00 |
| Mar 31, 2025 | 8,807.00 |
| Dec 31, 2024 | 63,120.00 |
| Sep 30, 2024 | 18,679.00 |
| Jun 30, 2024 | 15,216.00 |
| Mar 31, 2024 | 8,258.00 |
| Dec 31, 2023 | 3,499.00 |
| Sep 30, 2023 | 9,607.00 |
| Jun 30, 2023 | 1,533.00 |
API Access
Alpha Cognition 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=ACOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ACOG", "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=ACOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();