Biovie (BIVI) Operating Expenses (2013 - 2026)
Biovie (BIVI) posted Operating Expenses of $5.72 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 56.1% from $3.66 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Biovie (BIVI) Operating Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Biovie's Operating Expenses came in at $22.65 million, up 25.4% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -30.3% (FY2021 to FY2026).
- In prior fiscal years, Biovie's Operating Expenses was $18.07 million in FY2025 (-43.9%), $32.18 million in FY2024 (-28.6%), $45.08 million in FY2023 (+65.4%) and $27.25 million in FY2022 (-80.3%).
- Quarterly Operating Expenses has run from a low of $2.99 million in fiscal Q3 2025 to a high of $13.77 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 1.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2023, with growth of 139.6%; the weakest was fiscal Q4 2022, with a decline of 92.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $5.39 million (Q3 2026), $6.26 million (Q2 2026) and $5.28 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Biovie | 11.62 Mn | 11.62 Mn | - | 5.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 Mn |
| Mar 31, 2026 | 5.39 Mn |
| Dec 31, 2025 | 6.26 Mn |
| Sep 30, 2025 | 5.28 Mn |
| Jun 30, 2025 | 3.66 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 7.29 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | 4.79 Mn |
| Mar 31, 2024 | 7.73 Mn |
| Dec 31, 2023 | 8.78 Mn |
| Sep 30, 2023 | 10.88 Mn |
| Jun 30, 2023 | 10.98 Mn |
| Mar 31, 2023 | 13.77 Mn |
| Dec 31, 2022 | 11.49 Mn |
| Sep 30, 2022 | 8.83 Mn |
| Jun 30, 2022 | 9.29 Mn |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 6.67 Mn |
| Sep 30, 2021 | 5.55 Mn |
API Access
Biovie 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=BIVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BIVI", "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=BIVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();