Veru (VERU) Total Liabilities (2010 - 2026)
Veru's Total Liabilities came in at $8.65 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 27.8% from $11.99 million a year earlier but up 4.3% from the prior quarter.
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Analysis
Veru (VERU) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Veru's Total Liabilities was $11.5 million, down 59.1% from FY2024.
- Total Liabilities has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $28.1 million in FY2024 (-7.4%), $30.34 million in FY2023 (-42.3%), $52.56 million in FY2022 (+122.4%) and $23.63 million in FY2021 (+10.3%).
- The five-year range for quarterly Total Liabilities is $8.3 million (fiscal Q2 2026) to $52.56 million (fiscal Q4 2022).
- Year-over-year, Total Liabilities has declined for 13 consecutive quarters, with an average decline of 38.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 122.4%), and the weakest in fiscal Q4 2025 (a decline of 59.1%).
- Business Quant data shows VERU's Total Liabilities at $8.3 million (Q2 2026), $10.44 million (Q1 2026) and $11.5 million (Q4 2025) in the three fiscal quarters before Q3 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 | Veru | 58.32 Mn | -51.96 Mn | - | 8.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.65 Mn |
| Mar 31, 2026 | 8.30 Mn |
| Dec 31, 2025 | 10.44 Mn |
| Sep 30, 2025 | 11.50 Mn |
| Jun 30, 2025 | 11.99 Mn |
| Mar 31, 2025 | 11.62 Mn |
| Dec 31, 2024 | 13.20 Mn |
| Sep 30, 2024 | 28.10 Mn |
| Jun 30, 2024 | 27.01 Mn |
| Mar 31, 2024 | 26.59 Mn |
| Dec 31, 2023 | 28.96 Mn |
| Sep 30, 2023 | 30.34 Mn |
| Jun 30, 2023 | 39.56 Mn |
| Mar 31, 2023 | 48.53 Mn |
| Dec 31, 2022 | 52.08 Mn |
| Sep 30, 2022 | 52.56 Mn |
| Jun 30, 2022 | 43.71 Mn |
| Mar 31, 2022 | 36.83 Mn |
| Dec 31, 2021 | 24.16 Mn |
| Sep 30, 2021 | 23.63 Mn |
API Access
Veru 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=VERU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VERU", "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=VERU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();