Aytu Biopharma (AYTU) Total Liabilities (2011 - 2026)
Aytu Biopharma's Total Liabilities came in at $69.73 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 33.7% from $105.21 million a year earlier and down 8.9% from the prior quarter.
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Analysis
Aytu Biopharma (AYTU) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Aytu Biopharma's Total Liabilities data covers 57 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -11.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $105.21 million in FY2025 (+16.4%), $90.38 million in FY2024 (-6.9%), $97.11 million in FY2023 (+4.1%) and $93.32 million in FY2022 (-27.2%).
- The fiscal Q4 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q2 2021.
- Year-over-year, Total Liabilities increased in three of the last eight quarters, with an average decline of 3.0%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2022 (growth of 131.5%), and the weakest in fiscal Q4 2026 (a decline of 33.7%).
- Business Quant data shows AYTU's Total Liabilities at $76.55 million (Q3 2026), $107.8 million (Q2 2026) and $101.82 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Aytu Biopharma | 23.58 Mn | -92.10 Mn | 10.41 Mn | 69.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.73 Mn |
| Mar 31, 2026 | 76.55 Mn |
| Dec 31, 2025 | 107.80 Mn |
| Sep 30, 2025 | 101.82 Mn |
| Jun 30, 2025 | 105.21 Mn |
| Mar 31, 2025 | 89.30 Mn |
| Dec 31, 2024 | 85.46 Mn |
| Sep 30, 2024 | 86.01 Mn |
| Jun 30, 2024 | 90.38 Mn |
| Mar 31, 2024 | 98.09 Mn |
| Dec 31, 2023 | 98.40 Mn |
| Sep 30, 2023 | 100.72 Mn |
| Jun 30, 2023 | 97.11 Mn |
| Mar 31, 2023 | 106.30 Mn |
| Dec 31, 2022 | 95.62 Mn |
| Sep 30, 2022 | 101.65 Mn |
| Jun 30, 2022 | 93.32 Mn |
| Mar 31, 2022 | 107.68 Mn |
| Dec 31, 2021 | 118.29 Mn |
| Sep 30, 2021 | 116.23 Mn |
API Access
Aytu Biopharma Total Liabilities 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=total-liabilities&ticker=AYTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AYTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();