Alzamend Neuro (ALZN) Operating Expenses (2020 - 2026)
Alzamend Neuro (ALZN) reported Operating Expenses of $3.03 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 12.0% from $2.7 million a year earlier and up 5.4% from the prior quarter.
Alzamend Neuro (ALZN) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Alzamend Neuro's Operating Expenses came in at $9.09 million, up 45.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $8.77 million, up 95.0% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $4.5 million in FY2025 (-54.7%), $9.94 million in FY2024 (-33.2%), $14.87 million in FY2023 (+20.7%) and $12.32 million in FY2022 (+148.8%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q1 2024.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 43.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 217.4%); the low point was fiscal Q4 2024 (a decline of 74.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.87 million (Q4 2026), $2.2 million (Q3 2026) and $998,109 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Alzamend Neuro | 8.78 Mn | 8.78 Mn | - | 3.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.03 Mn |
| Apr 30, 2026 | 2.87 Mn |
| Jan 31, 2026 | 2.20 Mn |
| Oct 31, 2025 | 998,109.00 |
| Jul 31, 2025 | 2.70 Mn |
| Apr 30, 2025 | 1.14 Mn |
| Jan 31, 2025 | 1.04 Mn |
| Oct 31, 2024 | 1.36 Mn |
| Jul 31, 2024 | 962,405.00 |
| Apr 30, 2024 | 850,064.00 |
| Jan 31, 2024 | 2.66 Mn |
| Oct 31, 2023 | 2.90 Mn |
| Jul 31, 2023 | 3.53 Mn |
| Apr 30, 2023 | 3.31 Mn |
| Jan 31, 2023 | 5.42 Mn |
| Oct 31, 2022 | 3.11 Mn |
| Jul 31, 2022 | 3.04 Mn |
| Apr 30, 2022 | 3.87 Mn |
| Jan 31, 2022 | 2.56 Mn |
| Oct 31, 2021 | 3.58 Mn |
Alzamend Neuro 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=ALZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALZN", "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=ALZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();