Aytu Biopharma (AYTU) Total Non-Current Liabilities (2015 - 2026)
Aytu Biopharma (AYTU) reported Total Non-Current Liabilities of $15.07 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 64.2% from $42.15 million a year earlier and down 9.1% from the prior quarter.
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Analysis
Aytu Biopharma (AYTU) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
Dating back to fiscal Q3 2015, Aytu Biopharma's Total Non-Current Liabilities record includes 46 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -32.8% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $42.15 million in FY2025 (+49.7%), $28.15 million in FY2024 (+0.2%), $28.09 million in FY2023 (-65.1%) and $80.52 million in FY2022 (-26.5%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q3 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 4.5%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q1 2022 (growth of 190.9%); the low point was fiscal Q3 2024 (a decline of 85.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $16.57 million (Q3 2026), $42.24 million (Q2 2026) and $35.82 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Aytu Biopharma | 23.91 Mn | -91.77 Mn | 10.41 Mn | 15.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.07 Mn |
| Mar 31, 2026 | 16.57 Mn |
| Dec 31, 2025 | 42.24 Mn |
| Sep 30, 2025 | 35.82 Mn |
| Jun 30, 2025 | 42.15 Mn |
| Mar 31, 2025 | 18.60 Mn |
| Dec 31, 2024 | 21.41 Mn |
| Sep 30, 2024 | 24.75 Mn |
| Jun 30, 2024 | 28.15 Mn |
| Mar 31, 2024 | 14.40 Mn |
| Dec 31, 2023 | 34.21 Mn |
| Sep 30, 2023 | 88.41 Mn |
| Jun 30, 2023 | 28.09 Mn |
| Mar 31, 2023 | 98.38 Mn |
| Dec 31, 2022 | 85.84 Mn |
| Sep 30, 2022 | 92.32 Mn |
| Jun 30, 2022 | 80.52 Mn |
| Mar 31, 2022 | 102.11 Mn |
| Dec 31, 2021 | 109.99 Mn |
| Sep 30, 2021 | 108.06 Mn |
API Access
Aytu Biopharma Total Non-Current 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-non-current-liabilities&ticker=AYTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AYTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();