Zevra Therapeutics (ZVRA) Operating Expenses (2014 - 2026)
Zevra Therapeutics' Operating Expenses was $21.05 million in Q2 2026, down 13.1% from $24.22 million a year earlier and down 16.4% from the prior quarter.
Zevra Therapeutics (ZVRA) Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Zevra Therapeutics' Operating Expenses was $89.56 million through Jun 30, 2026, down 9.2% year-over-year; for FY2025, it came in at $90.36 million, down 6.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 36.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $96.96 million in FY2024 (+30.8%), $74.12 million in FY2023 (+40.6%), $52.73 million in FY2022 (+152.0%) and $20.92 million in FY2021 (+10.7%).
- Quarterly Operating Expenses has moved between $4.19 million (Q3 2021) and $27.15 million (Q3 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 2.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 323.6%); the worst was Q2 2023 (a decline of 46.1%).
- Per Business Quant data, ZVRA's Operating Expenses in the three quarters before Q2 2026 was $25.18 million (Q1 2026), $22.97 million (Q4 2025) and $20.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Zevra Therapeutics | 650.98 Mn | -161.73 Mn | 38.18 Mn | 21.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.05 Mn |
| Mar 31, 2026 | 25.18 Mn |
| Dec 31, 2025 | 22.97 Mn |
| Sep 30, 2025 | 20.37 Mn |
| Jun 30, 2025 | 24.22 Mn |
| Mar 31, 2025 | 22.80 Mn |
| Dec 31, 2024 | 24.48 Mn |
| Sep 30, 2024 | 27.15 Mn |
| Jun 30, 2024 | 23.13 Mn |
| Mar 31, 2024 | 22.21 Mn |
| Dec 31, 2023 | 26.08 Mn |
| Sep 30, 2023 | 18.12 Mn |
| Jun 30, 2023 | 14.05 Mn |
| Mar 31, 2023 | 15.88 Mn |
| Dec 31, 2022 | 11.34 Mn |
| Sep 30, 2022 | 9.50 Mn |
| Jun 30, 2022 | 26.07 Mn |
| Mar 31, 2022 | 5.82 Mn |
| Dec 31, 2021 | 5.42 Mn |
| Sep 30, 2021 | 4.19 Mn |
Zevra Therapeutics 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=ZVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ZVRA", "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=ZVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();