Aytu Biopharma (AYTU) Operating Expenses (2010 - 2026)
Aytu Biopharma's Operating Expenses came in at $11.19 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 37.4% from $17.88 million a year earlier and down 4.1% from the prior quarter.
Aytu Biopharma (AYTU) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Aytu Biopharma's Operating Expenses was $45.13 million, down 15.9% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of -12.5% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $53.66 million in FY2025 (+5.9%), $50.65 million in FY2024 (-39.5%), $83.7 million in FY2023 (-48.4%) and $162.19 million in FY2022 (+84.2%).
- The five-year range for quarterly Operating Expenses is $10.39 million (fiscal Q3 2025) to $66.11 million (fiscal Q3 2022).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 3.3%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 208.6%), and the weakest in fiscal Q3 2023 (a decline of 67.8%).
- Business Quant data shows AYTU's Operating Expenses at $11.66 million (Q3 2026), $11.59 million (Q2 2026) and $10.69 million (Q1 2026) in the three fiscal quarters before Q4 2026.
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 | Aytu Biopharma | 23.58 Mn | -92.10 Mn | 10.41 Mn | 11.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.19 Mn |
| Mar 31, 2026 | 11.66 Mn |
| Dec 31, 2025 | 11.59 Mn |
| Sep 30, 2025 | 10.69 Mn |
| Jun 30, 2025 | 17.88 Mn |
| Mar 31, 2025 | 10.39 Mn |
| Dec 31, 2024 | 12.48 Mn |
| Sep 30, 2024 | 12.92 Mn |
| Jun 30, 2024 | 13.33 Mn |
| Mar 31, 2024 | 11.96 Mn |
| Dec 31, 2023 | 11.46 Mn |
| Sep 30, 2023 | 13.91 Mn |
| Jun 30, 2023 | 18.40 Mn |
| Mar 31, 2023 | 21.30 Mn |
| Dec 31, 2022 | 24.16 Mn |
| Sep 30, 2022 | 19.84 Mn |
| Jun 30, 2022 | 31.78 Mn |
| Mar 31, 2022 | 66.11 Mn |
| Dec 31, 2021 | 23.59 Mn |
| Sep 30, 2021 | 40.16 Mn |
Aytu Biopharma 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=AYTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AYTU", "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=AYTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();