Veru (VERU) Enterprise Value (2010 - 2026)
Veru (VERU) posted Enterprise Value of $46.36 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 33.7% from $69.96 million a year earlier but up 129.8% from the prior quarter.
Veru (VERU) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Veru was -$38.13 million; for FY2025 (ended Sep 30, 2025), it was $37.35 million, down 57.1% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -26.1% (FY2020 to FY2025).
- In prior fiscal years, Veru's Enterprise Value was $87.06 million in FY2024 (+54.2%), $56.46 million in FY2023 (-93.3%), $847.27 million in FY2022 (+51.4%) and $559.78 million in FY2021 (+230.3%).
- Quarterly Enterprise Value has run from a low of $8.07 million in fiscal Q1 2026 to a high of $847.27 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last six quarters, with an average decline of 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2021, with growth of 230.3%; the weakest was fiscal Q4 2023, with a decline of 93.3%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $20.18 million (Q2 2026), $8.07 million (Q1 2026) and $37.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Veru | 58.32 Mn | -51.96 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.36 Mn |
| Mar 31, 2026 | 20.18 Mn |
| Dec 31, 2025 | 8.07 Mn |
| Sep 30, 2025 | 37.35 Mn |
| Jun 30, 2025 | 69.96 Mn |
| Mar 31, 2025 | 51.81 Mn |
| Dec 31, 2024 | 68.54 Mn |
| Sep 30, 2024 | 87.06 Mn |
| Jun 30, 2024 | 93.81 Mn |
| Mar 31, 2024 | 67.73 Mn |
| Dec 31, 2023 | 31.85 Mn |
| Sep 30, 2023 | 56.46 Mn |
| Jun 30, 2023 | 89.98 Mn |
| Mar 31, 2023 | 72.29 Mn |
| Dec 31, 2022 | 378.76 Mn |
| Sep 30, 2022 | 847.27 Mn |
| Jun 30, 2022 | 804.90 Mn |
| Mar 31, 2022 | 274.70 Mn |
| Dec 31, 2021 | 355.39 Mn |
| Sep 30, 2021 | 559.78 Mn |
Veru Enterprise Value 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=enterprise-value&ticker=VERU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VERU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();