Clearmind Medicine (CMND) Interest Expenses (2022 - 2023)
Clearmind Medicine (CMND) posted Interest Expenses of -$190,708 for fiscal Q1 2026 (quarter ended Jan 31, 2026), compared with $463,888 a year earlier.
Powered by 
Analysis
Clearmind Medicine (CMND) Interest Expenses (2022 - 2023) Analysis & Trends
For the trailing twelve months through Jan 31, 2026, Interest Expenses at Clearmind Medicine was $1.15 million, up 2.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.88 million, up 116.6% from FY2024.
- In prior fiscal years, Clearmind Medicine's Interest Expenses was $868,213 in FY2024, -$2.32 million in FY2023, -$15,299 in FY2022 and -$26,663 in FY2021.
- The fiscal Q1 2026 figure stands as the lowest quarterly Interest Expenses since fiscal Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Clearmind Medicine | 9,526.05 | -39.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2023 | -3,707.71 |
| Apr 30, 2022 | -83,018.56 |
| Jan 31, 2022 | -5,107.09 |
API Access
Clearmind Medicine 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=CMND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CMND", "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=CMND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();