Anavex Life Sciences (AVXL) Total Liabilities (2011 - 2026)
Anavex Life Sciences (AVXL) recorded Total Liabilities of $7.69 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 33.0% from $11.47 million a year earlier but up 9.0% from the prior quarter.
Anavex Life Sciences (AVXL) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Anavex Life Sciences reported Total Liabilities of $8.95 million, down 41.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $15.3 million in FY2024 (+22.1%), $12.53 million in FY2023 (+22.7%), $10.21 million in FY2022 (-5.4%) and $10.8 million in FY2021 (+47.8%).
- Quarterly Total Liabilities has ranged from $6.37 million in fiscal Q1 2026 to $17.38 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 9.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 81.8% in fiscal Q2 2025, against a decline of 59.4% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.06 million (Q2 2026), $6.37 million (Q1 2026) and $8.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Anavex Life Sciences | 123.75 Mn | -356.32 Mn | - | 7.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.69 Mn |
| Mar 31, 2026 | 7.06 Mn |
| Dec 31, 2025 | 6.37 Mn |
| Sep 30, 2025 | 8.95 Mn |
| Jun 30, 2025 | 11.47 Mn |
| Mar 31, 2025 | 17.38 Mn |
| Dec 31, 2024 | 13.13 Mn |
| Sep 30, 2024 | 15.30 Mn |
| Jun 30, 2024 | 11.75 Mn |
| Mar 31, 2024 | 9.56 Mn |
| Dec 31, 2023 | 12.50 Mn |
| Sep 30, 2023 | 12.53 Mn |
| Jun 30, 2023 | 11.05 Mn |
| Mar 31, 2023 | 14.02 Mn |
| Dec 31, 2022 | 13.25 Mn |
| Sep 30, 2022 | 10.21 Mn |
| Jun 30, 2022 | 9.48 Mn |
| Mar 31, 2022 | 8.07 Mn |
| Dec 31, 2021 | 10.53 Mn |
| Sep 30, 2021 | 10.80 Mn |
Anavex Life Sciences Total 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-liabilities&ticker=AVXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AVXL", "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-liabilities&ticker=AVXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();