Vaxart (VXRT) Total Current Liabilities (2010 - 2026)
Vaxart's Total Current Liabilities came in at $73.11 million for Q2 2026, down 38.0% from $117.88 million a year earlier and down 4.9% from the prior quarter.
Vaxart (VXRT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vaxart's Total Current Liabilities was $86.75 million, down 4.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 49.1% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $90.88 million in FY2024 (+562.2%), $13.72 million in FY2023 (-23.4%), $17.92 million in FY2022 (+66.2%) and $10.78 million in FY2021 (-8.3%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q2 2024.
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 308.4% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2025 (growth of 648.1%), and the weakest in Q3 2023 (a decline of 48.2%).
- Business Quant data shows VXRT's Total Current Liabilities at $76.84 million (Q1 2026), $86.75 million (Q4 2025) and $169.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,157.52 Bn | 1,126.11 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 631.39 Bn | 549.92 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 498.93 Bn | 472.04 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 376.05 Bn | 330.42 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 301.98 Bn | 265.97 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 265.05 Bn | 238.74 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 240.27 Bn | 195.67 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 193.08 Bn | 167.27 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.85 Bn | 118.50 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Vaxart | 116.24 Mn | 52.24 Mn | - | 73.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.11 Mn |
| Mar 31, 2026 | 76.84 Mn |
| Dec 31, 2025 | 86.75 Mn |
| Sep 30, 2025 | 169.30 Mn |
| Jun 30, 2025 | 117.88 Mn |
| Mar 31, 2025 | 98.50 Mn |
| Dec 31, 2024 | 90.88 Mn |
| Sep 30, 2024 | 80.36 Mn |
| Jun 30, 2024 | 15.76 Mn |
| Mar 31, 2024 | 14.12 Mn |
| Dec 31, 2023 | 13.72 Mn |
| Sep 30, 2023 | 11.27 Mn |
| Jun 30, 2023 | 13.88 Mn |
| Mar 31, 2023 | 15.68 Mn |
| Dec 31, 2022 | 17.92 Mn |
| Sep 30, 2022 | 21.74 Mn |
| Jun 30, 2022 | 15.93 Mn |
| Mar 31, 2022 | 11.04 Mn |
| Dec 31, 2021 | 10.78 Mn |
| Sep 30, 2021 | 12.60 Mn |
Vaxart 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=VXRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=VXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();