Anixa Biosciences (ANIX) Total Current Liabilities (2010 - 2026)
Anixa Biosciences (ANIX) posted Total Current Liabilities of $1.75 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 15.5% from $2.07 million a year earlier but up 16.3% from the prior quarter.
Anixa Biosciences (ANIX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Anixa Biosciences' Total Current Liabilities came in at $1.97 million, down 21.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior fiscal years, Anixa Biosciences' Total Current Liabilities was $2.5 million in FY2024 (+23.3%), $2.03 million in FY2023 (-0.4%), $2.04 million in FY2022 (+60.4%) and $1.27 million in FY2021 (+6.8%).
- Quarterly Total Current Liabilities has run from a low of $1.19 million in fiscal Q2 2022 to a high of $2.5 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last seven quarters, with growth averaging 0.2%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q4 2022, with growth of 60.4%; the weakest was fiscal Q1 2023, with a decline of 31.1%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Anixa Biosciences | 101.33 Mn | 100.06 Mn | - | 1.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.75 Mn |
| Apr 30, 2026 | 1.50 Mn |
| Oct 31, 2025 | 1.97 Mn |
| Jul 31, 2025 | 2.07 Mn |
| Apr 30, 2025 | 1.89 Mn |
| Jan 31, 2025 | 2.00 Mn |
| Oct 31, 2024 | 2.50 Mn |
| Jul 31, 2024 | 2.00 Mn |
| Apr 30, 2024 | 1.68 Mn |
| Jan 31, 2024 | 1.66 Mn |
| Oct 31, 2023 | 2.03 Mn |
| Jul 31, 2023 | 1.86 Mn |
| Apr 30, 2023 | 1.54 Mn |
| Jan 31, 2023 | 1.23 Mn |
| Oct 31, 2022 | 2.04 Mn |
| Jul 31, 2022 | 1.47 Mn |
| Apr 30, 2022 | 1.19 Mn |
| Jan 31, 2022 | 1.79 Mn |
| Oct 31, 2021 | 1.27 Mn |
| Jul 31, 2021 | 1.21 Mn |
Anixa Biosciences Total Current Liabilities 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=total-current-liabilities&ticker=ANIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ANIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();