Anixa Biosciences (ANIX) Operating Expenses (2010 - 2026)
Anixa Biosciences' Operating Expenses was $2.74 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 12.4% from $2.44 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Anixa Biosciences (ANIX) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Anixa Biosciences' Operating Expenses was $10.7 million through Jul 31, 2026, down 10.8% year-over-year; for FY2025 (ended Oct 31, 2025), it was $11.7 million, down 15.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $13.83 million in FY2024 (+23.3%), $11.22 million in FY2023 (-19.1%), $13.88 million in FY2022 (+1.7%) and $13.65 million in FY2021 (+36.8%).
- Quarterly Operating Expenses has moved between $2.44 million (fiscal Q3 2025) and $4.08 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in two of the last seven quarters, with an average decline of 8.1%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 81.8%); the worst was fiscal Q3 2022 (a decline of 36.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Anixa Biosciences | 101.33 Mn | 100.06 Mn | - | 2.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.74 Mn |
| Apr 30, 2026 | 2.65 Mn |
| Oct 31, 2025 | 2.88 Mn |
| Jul 31, 2025 | 2.44 Mn |
| Apr 30, 2025 | 3.00 Mn |
| Jan 31, 2025 | 3.39 Mn |
| Oct 31, 2024 | 3.16 Mn |
| Jul 31, 2024 | 3.59 Mn |
| Apr 30, 2024 | 3.47 Mn |
| Jan 31, 2024 | 3.61 Mn |
| Oct 31, 2023 | 3.05 Mn |
| Jul 31, 2023 | 2.84 Mn |
| Apr 30, 2023 | 2.77 Mn |
| Jan 31, 2023 | 2.56 Mn |
| Oct 31, 2022 | 3.61 Mn |
| Jul 31, 2022 | 2.80 Mn |
| Apr 30, 2022 | 3.59 Mn |
| Jan 31, 2022 | 3.88 Mn |
| Oct 31, 2021 | 4.08 Mn |
| Jul 31, 2021 | 4.39 Mn |
API Access
Anixa Biosciences 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=ANIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ANIX", "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=ANIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();