Alpha Cognition (ACOG) Non Operating Interest Expenses (2023 - 2025)
Alpha Cognition (ACOG) reported Non Operating Interest Expenses of -$644.00 for Q2 2025, compared with $15,216 a year earlier.
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Analysis
Alpha Cognition (ACOG) Non Operating Interest Expenses (2023 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Alpha Cognition's Non Operating Interest Expenses came in at $89,962, up 145.9% year-over-year; for FY2024, it came in at $105,273, up 501.0% from FY2023.
- By year, Non Operating Interest Expenses came in at $17,516 in FY2023.
- The Q2 2025 figure ranks as the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2023.
- Per Business Quant data, the three quarters before Q2 2025 came in at $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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Alpha Cognition | 190.09 Mn | -6.99 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 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=ACOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=ACOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();