Zevra Therapeutics (ZVRA) Non-Current Assets (2014 - 2026)
Zevra Therapeutics' Non-Current Assets came in at $51.41 million for Q2 2026, up 71.7% from $29.94 million a year earlier and up 5.8% from the prior quarter.
Zevra Therapeutics (ZVRA) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Zevra Therapeutics' Non-Current Assets was $61.72 million, down 33.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 85.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $92.1 million in FY2024 (+7.9%), $85.39 million in FY2023 (+279.4%), $22.51 million in FY2022 (+25.8%) and $17.89 million in FY2021 (+532.6%).
- The five-year range for quarterly Non-Current Assets is $1.97 million (Q3 2023) to $92.11 million (Q3 2024).
- Year-over-year, Non-Current Assets increased in three of the last seven quarters, with an average decline of 16.0%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2022 (growth of 636.4%), and the weakest in Q2 2023 (a decline of 94.3%).
- Business Quant data shows ZVRA's Non-Current Assets at $48.61 million (Q1 2026), $61.72 million (Q4 2025) and $45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Zevra Therapeutics | 672.94 Mn | -139.77 Mn | 38.18 Mn | 51.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.41 Mn |
| Mar 31, 2026 | 48.61 Mn |
| Dec 31, 2025 | 61.72 Mn |
| Sep 30, 2025 | 45.00 Mn |
| Jun 30, 2025 | 29.94 Mn |
| Mar 31, 2025 | 91.14 Mn |
| Dec 31, 2024 | 92.10 Mn |
| Sep 30, 2024 | 92.11 Mn |
| Jun 30, 2024 | 83.52 Mn |
| Mar 31, 2024 | 88.39 Mn |
| Dec 31, 2023 | 85.39 Mn |
| Sep 30, 2023 | 1.97 Mn |
| Jun 30, 2023 | 2.09 Mn |
| Mar 31, 2023 | 2.32 Mn |
| Dec 31, 2022 | 22.51 Mn |
| Sep 30, 2022 | 34.42 Mn |
| Jun 30, 2022 | 36.82 Mn |
| Mar 31, 2022 | 19.93 Mn |
| Dec 31, 2021 | 17.89 Mn |
| Sep 30, 2021 | 2.56 Mn |
Zevra Therapeutics Non-Current Assets 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=non-current-assets&ticker=ZVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ZVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();