Anavex Life Sciences (AVXL) Accumulated Expenses (2018 - 2026)
Anavex Life Sciences (AVXL) posted Accumulated Expenses of $4.04 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.7% from $3.93 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Anavex Life Sciences (AVXL) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Anavex Life Sciences' Accumulated Expenses came in at $3.89 million, down 19.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior fiscal years, Anavex Life Sciences' Accumulated Expenses was $4.84 million in FY2024 (-33.7%), $7.3 million in FY2023 (+22.7%), $5.95 million in FY2022 (+5.9%) and $5.61 million in FY2021 (+69.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q2 2025.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 14.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2025, with growth of 94.4%; the weakest was fiscal Q1 2026, with a decline of 62.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $3.73 million (Q2 2026), $2.93 million (Q1 2026) and $3.89 million (Q4 2025).
Peer Set
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 | Anavex Life Sciences | 168.71 Mn | -311.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.04 Mn |
| Mar 31, 2026 | 3.73 Mn |
| Dec 31, 2025 | 2.93 Mn |
| Sep 30, 2025 | 3.89 Mn |
| Jun 30, 2025 | 3.93 Mn |
| Mar 31, 2025 | 9.56 Mn |
| Dec 31, 2024 | 7.73 Mn |
| Sep 30, 2024 | 4.84 Mn |
| Jun 30, 2024 | 7.33 Mn |
| Mar 31, 2024 | 4.92 Mn |
| Dec 31, 2023 | 7.29 Mn |
| Sep 30, 2023 | 7.30 Mn |
| Jun 30, 2023 | 5.99 Mn |
| Mar 31, 2023 | 6.82 Mn |
| Dec 31, 2022 | 7.04 Mn |
| Sep 30, 2022 | 5.95 Mn |
| Jun 30, 2022 | 5.91 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 5.45 Mn |
| Sep 30, 2021 | 5.61 Mn |
API Access
Anavex Life Sciences 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=accumulated-expenses&ticker=AVXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AVXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();