Vistagen Therapeutics (VTGN) Total Liabilities (2011 - 2026)
Vistagen Therapeutics (VTGN) posted Total Liabilities of $11.26 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.4% from $12.16 million a year earlier and down 13.7% from the prior quarter.
Vistagen Therapeutics (VTGN) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Vistagen Therapeutics' Total Liabilities came in at $13.04 million, down 6.5% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of -4.4% (FY2021 to FY2026).
- In prior fiscal years, Vistagen Therapeutics' Total Liabilities was $13.95 million in FY2025 (+48.9%), $9.37 million in FY2024 (+4.0%), $9.01 million in FY2023 (-9.3%) and $9.93 million in FY2022 (-39.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 30.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 53.2%; the weakest was fiscal Q2 2023, with a decline of 44.1%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $13.04 million (Q4 2026), $14.14 million (Q3 2026) and $14.59 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Vistagen Therapeutics | 13.76 Mn | 13.76 Mn | - | 11.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.26 Mn |
| Mar 31, 2026 | 13.04 Mn |
| Dec 31, 2025 | 14.14 Mn |
| Sep 30, 2025 | 14.59 Mn |
| Jun 30, 2025 | 12.16 Mn |
| Mar 31, 2025 | 13.95 Mn |
| Dec 31, 2024 | 11.19 Mn |
| Sep 30, 2024 | 9.52 Mn |
| Jun 30, 2024 | 8.75 Mn |
| Mar 31, 2024 | 9.37 Mn |
| Dec 31, 2023 | 7.78 Mn |
| Sep 30, 2023 | 6.55 Mn |
| Jun 30, 2023 | 8.18 Mn |
| Mar 31, 2023 | 9.01 Mn |
| Dec 31, 2022 | 9.03 Mn |
| Sep 30, 2022 | 11.10 Mn |
| Jun 30, 2022 | 12.67 Mn |
| Mar 31, 2022 | 9.93 Mn |
| Dec 31, 2021 | 10.56 Mn |
| Sep 30, 2021 | 19.84 Mn |
Vistagen 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=VTGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VTGN", "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=VTGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();