Anebulo Pharmaceuticals (ANEB) Accumulated Expenses (2020 - 2025)
Anebulo Pharmaceuticals' Accumulated Expenses came in at $930,784 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 66.4% from $559,284 a year earlier and up 161.2% from the prior quarter.
Anebulo Pharmaceuticals (ANEB) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Anebulo Pharmaceuticals' Accumulated Expenses was $263,513, up 153.0% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 63.5% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $104,157 in FY2024 (-80.5%), $534,256 in FY2023 (+305.7%), $131,703 in FY2022 (+0.1%) and $131,585 in FY2021 (+482.8%).
- The fiscal Q2 2026 figure represents the highest quarterly Accumulated Expenses since fiscal Q2 2023.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2021 (growth of 482.8%), and the weakest in fiscal Q3 2022 (a decline of 98.8%).
- Business Quant data shows ANEB's Accumulated Expenses at $356,282 (Q1 2026), $263,513 (Q4 2025) and $118,454 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Anebulo Pharmaceuticals | 11.91 Mn | -32.39 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 930,784.00 |
| Sep 30, 2025 | 356,282.00 |
| Jun 30, 2025 | 263,513.00 |
| Mar 31, 2025 | 118,454.00 |
| Dec 31, 2024 | 559,284.00 |
| Sep 30, 2024 | 317,083.00 |
| Jun 30, 2024 | 104,157.00 |
| Mar 31, 2024 | 625,401.00 |
| Dec 31, 2023 | 694,877.00 |
| Sep 30, 2023 | 150,611.00 |
| Jun 30, 2023 | 534,256.00 |
| Mar 31, 2023 | 920,183.00 |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 174,706.00 |
| Jun 30, 2022 | 131,703.00 |
| Mar 31, 2022 | 2,500.00 |
| Dec 31, 2021 | 7,000.00 |
| Sep 30, 2021 | 113,887.00 |
| Jun 30, 2021 | 131,585.00 |
| Mar 31, 2021 | 211,139.00 |
Anebulo Pharmaceuticals 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=ANEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ANEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();