Anavex Life Sciences (AVXL) Operating Expenses (2016 - 2026)
Anavex Life Sciences (AVXL) recorded Operating Expenses of -$6.74 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $14.46 million a year earlier.
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Analysis
Anavex Life Sciences (AVXL) Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Anavex Life Sciences' Operating Expenses came in at $17.37 million as of Jun 30, 2026, down 68.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $51.41 million, down 2.8% from FY2024.
- Across earlier fiscal years, Operating Expenses came in at $52.88 million in FY2024 (-5.2%), $55.76 million in FY2023 (+9.4%), $50.99 million in FY2022 (+21.4%) and $42 million in FY2021.
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q4 2020.
- On a year-over-year basis, Operating Expenses rose in two of the last seven quarters, with an average decline of 13.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 31.2% in fiscal Q1 2023, against a decline of 50.1% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.48 million (Q2 2026), $6.78 million (Q1 2026) and $10.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Anavex Life Sciences | 187.25 Mn | -292.83 Mn | - | -6.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.74 Mn |
| Mar 31, 2026 | 6.48 Mn |
| Dec 31, 2025 | 6.78 Mn |
| Sep 30, 2025 | 10.84 Mn |
| Jun 30, 2025 | 14.46 Mn |
| Mar 31, 2025 | 12.51 Mn |
| Dec 31, 2024 | 13.59 Mn |
| Sep 30, 2024 | 14.27 Mn |
| Jun 30, 2024 | 14.60 Mn |
| Mar 31, 2024 | 12.62 Mn |
| Dec 31, 2023 | 11.38 Mn |
| Sep 30, 2023 | 12.66 Mn |
| Jun 30, 2023 | 13.53 Mn |
| Mar 31, 2023 | 14.19 Mn |
| Dec 31, 2022 | 15.38 Mn |
| Sep 30, 2022 | 15.28 Mn |
| Jun 30, 2022 | 12.46 Mn |
| Mar 31, 2022 | 11.52 Mn |
| Dec 31, 2021 | 11.72 Mn |
| Sep 30, 2021 | 12.25 Mn |
API Access
Anavex Life Sciences Operating 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=operating-expenses&ticker=AVXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AVXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();