Vaxart (VXRT) Total Non-Current Liabilities (2012 - 2026)
Vaxart's Total Non-Current Liabilities was $80.77 million in Q2 2026, down 38.2% from $130.74 million a year earlier and down 3.3% from the prior quarter.
Vaxart (VXRT) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Vaxart came in at $95.6 million, down 9.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 41.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $105.77 million in FY2024 (+236.8%), $31.4 million in FY2023 (-16.5%), $37.63 million in FY2022 (+64.0%) and $22.95 million in FY2021 (+34.8%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2024.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with growth averaging 130.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 306.7%); the worst was Q2 2026 (a decline of 38.2%).
- Per Business Quant data, VXRT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $83.57 million (Q1 2026), $95.6 million (Q4 2025) and $181.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Vaxart | 115.76 Mn | 51.76 Mn | - | 79.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.90 Mn |
| Mar 31, 2026 | 82.73 Mn |
| Dec 31, 2025 | 94.79 Mn |
| Sep 30, 2025 | 180.96 Mn |
| Jun 30, 2025 | 130.51 Mn |
| Mar 31, 2025 | 112.07 Mn |
| Dec 31, 2024 | 105.33 Mn |
| Sep 30, 2024 | 95.68 Mn |
| Jun 30, 2024 | 31.74 Mn |
| Mar 31, 2024 | 30.81 Mn |
| Dec 31, 2023 | 31.11 Mn |
| Sep 30, 2023 | 29.21 Mn |
| Jun 30, 2023 | 32.45 Mn |
| Mar 31, 2023 | 34.86 Mn |
| Dec 31, 2022 | 37.40 Mn |
| Sep 30, 2022 | 41.76 Mn |
| Jun 30, 2022 | 27.50 Mn |
| Mar 31, 2022 | 22.87 Mn |
| Dec 31, 2021 | 22.78 Mn |
| Sep 30, 2021 | 23.99 Mn |
Vaxart Total Non-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-non-current-liabilities&ticker=VXRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VXRT", "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-non-current-liabilities&ticker=VXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();