Anixa Biosciences (ANIX) Other Accumulated Expenses (2011 - 2026)
Anixa Biosciences (ANIX) reported Other Accumulated Expenses of $626,000 for fiscal Q3 2026 (quarter ended Jul 31, 2026), unchanged from $626,000 a year earlier and unchanged from the prior quarter.
Anixa Biosciences (ANIX) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Anixa Biosciences' Other Accumulated Expenses record includes 36 quarters.
- By fiscal year, Other Accumulated Expenses came in at $626,000 in FY2024 (unchanged) and $626,000 in FY2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Anixa Biosciences | 102.02 Mn | 100.75 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 626,000.00 |
| Apr 30, 2026 | 626,000.00 |
| Oct 31, 2025 | 626,000.00 |
| Jul 31, 2025 | 626,000.00 |
| Apr 30, 2025 | 626,000.00 |
| Jan 31, 2025 | 626,000.00 |
| Oct 31, 2024 | 626,000.00 |
| Jul 31, 2024 | 626,000.00 |
| Oct 31, 2023 | 626,000.00 |
| Apr 30, 2020 | 9,104.00 |
| Jan 31, 2020 | 27,819.00 |
| Oct 31, 2019 | 1,247.00 |
| Jul 31, 2019 | 9,459.00 |
| Apr 30, 2019 | 17,690.00 |
| Jan 31, 2019 | 366,670.00 |
| Oct 31, 2018 | 65,964.00 |
| Jul 31, 2018 | 366,670.00 |
| Apr 30, 2018 | 246,177.00 |
| Jan 31, 2018 | 108,811.00 |
| Oct 31, 2017 | 119,963.00 |
Anixa Biosciences Other Accumulated 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=other-accumulated-expenses&ticker=ANIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ANIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();