Anebulo Pharmaceuticals (ANEB) Operating Expenses (2020 - 2025)
Anebulo Pharmaceuticals' Operating Expenses was $2.62 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 1.2% from $2.59 million a year earlier and up 15.9% from the prior quarter.
Anebulo Pharmaceuticals (ANEB) Operating Expenses (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, Anebulo Pharmaceuticals' Operating Expenses was $9.1 million through Dec 31, 2025, up 13.7% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $9.22 million, up 11.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 121.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $8.31 million in FY2024 (-29.5%), $11.78 million in FY2023 (+72.5%), $6.83 million in FY2022 (+89.0%) and $3.61 million in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Operating Expenses since fiscal Q2 2024.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 2.1%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2022 (growth of 516.2%); the worst was fiscal Q4 2024 (a decline of 46.3%).
- Per Business Quant data, ANEB's Operating Expenses in the three fiscal quarters before Q2 2026 was $2.26 million (Q1 2026), $2.33 million (Q4 2025) and $1.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Anebulo Pharmaceuticals | 13.15 Mn | 13.15 Mn | - | 2.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.62 Mn |
| Sep 30, 2025 | 2.26 Mn |
| Jun 30, 2025 | 2.33 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 2.59 Mn |
| Sep 30, 2024 | 2.41 Mn |
| Jun 30, 2024 | 1.34 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 2.76 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 2.86 Mn |
| Dec 31, 2022 | 3.81 Mn |
| Sep 30, 2022 | 2.61 Mn |
| Jun 30, 2022 | 2.33 Mn |
| Mar 31, 2022 | 1.88 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 1.55 Mn |
| Jun 30, 2021 | 2.48 Mn |
| Mar 31, 2021 | 552,131.00 |
Anebulo Pharmaceuticals 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=ANEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ANEB", "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=ANEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();