Zevra Therapeutics (ZVRA) Total Current Liabilities (2014 - 2026)
Zevra Therapeutics (ZVRA) posted Total Current Liabilities of $48.63 million for Q2 2026, up 68.7% from $28.83 million a year earlier and up 3.4% from the prior quarter.
Zevra Therapeutics (ZVRA) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Zevra Therapeutics' Total Current Liabilities came in at $39.28 million, up 15.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 39.1% (FY2020 to FY2025).
- In prior years, Zevra Therapeutics' Total Current Liabilities was $34.07 million in FY2024 (-53.8%), $73.72 million in FY2023 (+513.2%), $12.02 million in FY2022 (+184.2%) and $4.23 million in FY2021 (-43.9%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q4 2023.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with growth averaging 15.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2023, with growth of 513.2%; the weakest was Q3 2021, with a decline of 94.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $47.03 million (Q1 2026), $39.28 million (Q4 2025) and $26.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Zevra Therapeutics | 672.94 Mn | -139.77 Mn | 38.18 Mn | 48.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.63 Mn |
| Mar 31, 2026 | 47.03 Mn |
| Dec 31, 2025 | 39.28 Mn |
| Sep 30, 2025 | 26.11 Mn |
| Jun 30, 2025 | 28.83 Mn |
| Mar 31, 2025 | 26.98 Mn |
| Dec 31, 2024 | 34.07 Mn |
| Sep 30, 2024 | 34.48 Mn |
| Jun 30, 2024 | 30.45 Mn |
| Mar 31, 2024 | 29.91 Mn |
| Dec 31, 2023 | 73.72 Mn |
| Sep 30, 2023 | 21.71 Mn |
| Jun 30, 2023 | 18.25 Mn |
| Mar 31, 2023 | 15.62 Mn |
| Dec 31, 2022 | 12.02 Mn |
| Sep 30, 2022 | 8.43 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | 2.95 Mn |
| Dec 31, 2021 | 4.23 Mn |
| Sep 30, 2021 | 3.70 Mn |
Zevra Therapeutics Total Current 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-current-liabilities&ticker=ZVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ZVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();