Veru (VERU) Operating Expenses (2012 - 2026)
Veru (VERU) posted Operating Expenses of $7.71 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.0% from $8.03 million a year earlier but up 6.9% from the prior quarter.
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Analysis
Veru (VERU) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Veru was $28.39 million, down 35.8% year-over-year; for FY2024 (ended Sep 30, 2024), it was $43.99 million, down 58.9% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.4% (FY2019 to FY2024).
- In prior fiscal years, Veru's Operating Expenses was $107.07 million in FY2023 (-6.1%), $114.08 million in FY2022 (+113.8%), $53.36 million in FY2021 (+69.8%) and $31.43 million in FY2020 (+11.9%).
- Quarterly Operating Expenses has run from a low of $5.42 million in fiscal Q1 2026 to a high of $45.44 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with an average decline of 2.2% over the last seven quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 220.5%; the weakest was fiscal Q1 2024, with a decline of 78.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Veru | 58.32 Mn | -51.96 Mn | - | 7.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.71 Mn |
| Mar 31, 2026 | 7.22 Mn |
| Dec 31, 2025 | 5.42 Mn |
| Jun 30, 2025 | 8.03 Mn |
| Mar 31, 2025 | 9.10 Mn |
| Dec 31, 2024 | 10.94 Mn |
| Sep 30, 2024 | 16.14 Mn |
| Jun 30, 2024 | 10.66 Mn |
| Mar 31, 2024 | 8.89 Mn |
| Dec 31, 2023 | 8.31 Mn |
| Sep 30, 2023 | 10.72 Mn |
| Jun 30, 2023 | 19.69 Mn |
| Mar 31, 2023 | 38.51 Mn |
| Dec 31, 2022 | 38.16 Mn |
| Sep 30, 2022 | 45.44 Mn |
| Jun 30, 2022 | 28.89 Mn |
| Mar 31, 2022 | 22.94 Mn |
| Dec 31, 2021 | 16.80 Mn |
| Sep 30, 2021 | 14.18 Mn |
| Jun 30, 2021 | 16.74 Mn |
API Access
Veru Operating Expenses 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=operating-expenses&ticker=VERU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VERU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();