Aytu Biopharma (AYTU) Accumulated Expenses (2013 - 2026)
Aytu Biopharma (AYTU) posted Accumulated Expenses of $35.21 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 7.8% from $38.16 million a year earlier but up 2.7% from the prior quarter.
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Analysis
Aytu Biopharma (AYTU) Accumulated Expenses (2013 - 2026) Analysis & Trends
Since fiscal Q4 2013, Aytu Biopharma has reported Accumulated Expenses for 43 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -9.3% (FY2021 to FY2026).
- In prior fiscal years, Aytu Biopharma's Accumulated Expenses was $38.16 million in FY2025 (+0.1%), $38.14 million in FY2024 (-18.5%), $46.8 million in FY2023 (+5.9%) and $44.19 million in FY2022 (-22.8%).
- Quarterly Accumulated Expenses has run from a low of $33.72 million in fiscal Q1 2025 to a high of $54.38 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 5.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 525.6%; the weakest was fiscal Q1 2023, with a decline of 23.8%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $34.27 million (Q3 2026), $40.16 million (Q2 2026) and $36.7 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Aytu Biopharma | 23.25 Mn | -92.42 Mn | 10.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.21 Mn |
| Mar 31, 2026 | 34.27 Mn |
| Dec 31, 2025 | 40.16 Mn |
| Sep 30, 2025 | 36.70 Mn |
| Jun 30, 2025 | 38.16 Mn |
| Mar 31, 2025 | 41.73 Mn |
| Dec 31, 2024 | 39.37 Mn |
| Sep 30, 2024 | 33.72 Mn |
| Jun 30, 2024 | 38.14 Mn |
| Mar 31, 2024 | 44.09 Mn |
| Dec 31, 2023 | 43.41 Mn |
| Sep 30, 2023 | 40.73 Mn |
| Jun 30, 2023 | 46.80 Mn |
| Mar 31, 2023 | 49.59 Mn |
| Dec 31, 2022 | 41.22 Mn |
| Sep 30, 2022 | 41.43 Mn |
| Jun 30, 2022 | 44.19 Mn |
| Mar 31, 2022 | 53.47 Mn |
| Dec 31, 2021 | 50.69 Mn |
| Sep 30, 2021 | 54.38 Mn |
API Access
Aytu Biopharma 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=AYTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AYTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();