Clearmind Medicine (CMND) Operating Expenses (2022 - 2026)
Clearmind Medicine (CMND) recorded Operating Expenses of $2.18 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 54.8% from $1.41 million a year earlier and up 38.7% from the prior quarter.
Clearmind Medicine (CMND) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Clearmind Medicine's Operating Expenses came in at $8.87 million as of Jul 31, 2026, up 53.0% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $5.67 million, down 1.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 100.8% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $5.74 million in FY2024 (-8.9%), $6.3 million in FY2023 (+0.8%), $6.25 million in FY2022 (+132.1%) and $2.69 million in FY2021.
- Quarterly Operating Expenses has ranged from $1.1 million in fiscal Q3 2023 to $3.66 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 26.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 144.6% in fiscal Q1 2026, against a decline of 24.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.57 million (Q2 2026), $3.66 million (Q1 2026) and $1.46 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Clearmind Medicine | 9,526.05 | -39.89 Mn | - | 2.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.18 Mn |
| Apr 30, 2026 | 1.57 Mn |
| Jan 31, 2026 | 3.66 Mn |
| Oct 31, 2025 | 1.46 Mn |
| Jul 31, 2025 | 1.41 Mn |
| Apr 30, 2025 | 1.31 Mn |
| Jan 31, 2025 | 1.50 Mn |
| Oct 31, 2024 | 1.59 Mn |
| Jul 31, 2024 | 1.47 Mn |
| Apr 30, 2024 | 1.30 Mn |
| Jan 31, 2024 | 1.38 Mn |
| Oct 31, 2023 | 1.71 Mn |
| Jul 31, 2023 | 1.10 Mn |
| Apr 30, 2023 | 1.66 Mn |
| Jan 31, 2023 | 1.83 Mn |
| Oct 31, 2022 | 1.15 Mn |
| Jul 31, 2022 | 1.35 Mn |
| Apr 30, 2022 | 1.75 Mn |
| Jan 31, 2022 | 1.65 Mn |
Clearmind Medicine Operating 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=operating-expenses&ticker=CMND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CMND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();