Zevra Therapeutics (ZVRA) Total Liabilities (2014 - 2026)
Zevra Therapeutics (ZVRA) recorded Total Liabilities of $85.06 million in Q2 2026, down 38.8% from $139.05 million a year earlier but up 16.9% from the prior quarter.
Zevra Therapeutics (ZVRA) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Zevra Therapeutics reported Total Liabilities of $130.07 million, down 6.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $138.46 million in FY2024 (+25.3%), $110.46 million in FY2023 (+174.6%), $40.22 million in FY2022 (+28.6%) and $31.28 million in FY2021 (-59.7%).
- Quarterly Total Liabilities has ranged from $4.21 million in Q1 2022 to $139.05 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 372.7% in Q3 2022, against a decline of 92.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.78 million (Q1 2026), $130.07 million (Q4 2025) and $136.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Zevra Therapeutics | 672.94 Mn | -139.77 Mn | 38.18 Mn | 85.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.06 Mn |
| Mar 31, 2026 | 72.78 Mn |
| Dec 31, 2025 | 130.07 Mn |
| Sep 30, 2025 | 136.95 Mn |
| Jun 30, 2025 | 139.05 Mn |
| Mar 31, 2025 | 131.69 Mn |
| Dec 31, 2024 | 138.46 Mn |
| Sep 30, 2024 | 121.78 Mn |
| Jun 30, 2024 | 111.93 Mn |
| Mar 31, 2024 | 102.47 Mn |
| Dec 31, 2023 | 110.46 Mn |
| Sep 30, 2023 | 77.46 Mn |
| Jun 30, 2023 | 46.65 Mn |
| Mar 31, 2023 | 47.33 Mn |
| Dec 31, 2022 | 40.22 Mn |
| Sep 30, 2022 | 25.76 Mn |
| Jun 30, 2022 | 25.03 Mn |
| Mar 31, 2022 | 4.21 Mn |
| Dec 31, 2021 | 31.28 Mn |
| Sep 30, 2021 | 5.45 Mn |
Zevra Therapeutics 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=ZVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();