Anixa Biosciences (ANIX) Selling, General & Administrative (2010 - 2026)
Anixa Biosciences (ANIX) recorded Selling, General & Administrative of $1.41 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 2.2% from $1.38 million a year earlier and up 1.6% from the prior quarter.
Anixa Biosciences (ANIX) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Anixa Biosciences' Selling, General & Administrative came in at $5.92 million as of Jul 31, 2026, down 10.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $6.63 million, down 10.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $7.44 million in FY2024 (+18.2%), $6.29 million in FY2023 (-12.3%), $7.17 million in FY2022 (+1.4%) and $7.07 million in FY2021 (+26.4%).
- Quarterly Selling, General & Administrative has ranged from $1.35 million in fiscal Q3 2022 to $2.26 million in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last seven quarters, with an average decline of 5.5%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 51.9% in fiscal Q1 2024, against a decline of 39.1% in fiscal Q3 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Anixa Biosciences | 102.02 Mn | 100.75 Mn | - | 1.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.41 Mn |
| Apr 30, 2026 | 1.39 Mn |
| Oct 31, 2025 | 1.73 Mn |
| Jul 31, 2025 | 1.38 Mn |
| Apr 30, 2025 | 1.68 Mn |
| Jan 31, 2025 | 1.83 Mn |
| Oct 31, 2024 | 1.69 Mn |
| Jul 31, 2024 | 1.67 Mn |
| Apr 30, 2024 | 1.82 Mn |
| Jan 31, 2024 | 2.26 Mn |
| Oct 31, 2023 | 1.44 Mn |
| Jul 31, 2023 | 1.76 Mn |
| Apr 30, 2023 | 1.61 Mn |
| Jan 31, 2023 | 1.49 Mn |
| Oct 31, 2022 | 1.92 Mn |
| Jul 31, 2022 | 1.35 Mn |
| Apr 30, 2022 | 1.85 Mn |
| Jan 31, 2022 | 2.04 Mn |
| Oct 31, 2021 | 1.90 Mn |
| Jul 31, 2021 | 2.22 Mn |
Anixa Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=ANIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ANIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();