Vistagen Therapeutics (VTGN) Total Non-Current Liabilities (2011 - 2023)
Vistagen Therapeutics (VTGN) reported Total Non-Current Liabilities of $3.64 million for fiscal Q2 2024 (quarter ended Sep 30, 2023), down 27.9% from $5.05 million a year earlier and down 11.9% from the prior quarter.
Vistagen Therapeutics (VTGN) Total Non-Current Liabilities (2011 - 2023) Analysis & Trends
At the end of FY2023 (ended Mar 31, 2023), Vistagen Therapeutics posted Total Non-Current Liabilities of $4.44 million, up 6.7% from FY2022.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 8.9% (FY2018 to FY2023).
- By fiscal year, Total Non-Current Liabilities came in at $4.16 million in FY2022 (-65.6%), $12.11 million in FY2021 (+38.8%), $8.73 million in FY2020 (+111.1%) and $4.14 million in FY2019 (+42.4%).
- The fiscal Q2 2024 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2019.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 31.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q1 2020 (growth of 153.4%); the low point was fiscal Q1 2023 (a decline of 68.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2024 came in at $4.13 million (Q1 2024), $4.44 million (Q4 2023) and $4.75 million (Q3 2023).
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 | Vistagen Therapeutics | 8.39 Mn | -207.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 3.64 Mn |
| Jun 30, 2023 | 4.13 Mn |
| Mar 31, 2023 | 4.44 Mn |
| Dec 31, 2022 | 4.75 Mn |
| Sep 30, 2022 | 5.05 Mn |
| Jun 30, 2022 | 3.75 Mn |
| Mar 31, 2022 | 4.16 Mn |
| Dec 31, 2021 | 4.14 Mn |
| Sep 30, 2021 | 11.93 Mn |
| Jun 30, 2021 | 12.02 Mn |
| Mar 31, 2021 | 12.11 Mn |
| Dec 31, 2020 | 12.48 Mn |
| Sep 30, 2020 | 12.75 Mn |
| Jun 30, 2020 | 9.11 Mn |
| Mar 31, 2020 | 8.73 Mn |
| Dec 31, 2019 | 8.49 Mn |
| Sep 30, 2019 | 8.25 Mn |
| Jun 30, 2019 | 8.01 Mn |
| Mar 31, 2019 | 4.14 Mn |
| Dec 31, 2018 | 3.86 Mn |
Vistagen Therapeutics 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=VTGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VTGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();