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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,158.59 Bn | 1,127.17 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.14 Bn | 542.67 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.94 Bn | 484.05 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.31 Bn | 320.69 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 295.90 Bn | 259.89 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 260.49 Bn | 234.18 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.12 Bn | 190.52 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.61 Bn | 167.81 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.37 Bn | 118.01 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Aytu Biopharma | 24.27 Mn | -91.41 Mn | 10.41 Mn | 69.73 Mn |
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 |
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_KEY
import 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();