Clearmind Medicine (CMND) Receivables (2021 - 2026)
Clearmind Medicine (CMND) posted Receivables of $3,818 for fiscal Q2 2026 (quarter ended Apr 30, 2026), down 64.6% from $10,780 a year earlier and down 98.5% from the prior quarter.
Clearmind Medicine (CMND) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2023 (ended Oct 31, 2023), Clearmind Medicine's Receivables came in at -$63,536.
- In prior fiscal years, Clearmind Medicine's Receivables was $91,244 in FY2022 (-28.7%) and $127,929 in FY2021.
- Quarterly Receivables has run from a low of -$63,536 in fiscal Q4 2023 to a high of $336,287 in fiscal Q1 2023 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Clearmind Medicine | 10,040.11 | 10,040.11 | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3,818.00 |
| Jan 31, 2026 | 256,376.00 |
| Jul 31, 2025 | -5,478.00 |
| Apr 30, 2025 | 10,780.00 |
| Jan 31, 2025 | 16,122.00 |
| Jul 31, 2024 | 20,365.00 |
| Apr 30, 2024 | 20,137.00 |
| Jan 31, 2024 | 177,668.00 |
| Oct 31, 2023 | -63,536.00 |
| Jul 31, 2023 | 108,255.00 |
| Apr 30, 2023 | 158,860.00 |
| Jan 31, 2023 | 336,286.87 |
| Oct 31, 2022 | 88,362.82 |
| Oct 31, 2021 | 127,958.89 |
Clearmind Medicine Receivables 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=receivables&ticker=CMND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CMND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();