Vistagen Therapeutics (VTGN) Operating Expenses (2011 - 2026)
Vistagen Therapeutics' Operating Expenses came in at $14.82 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.6% from $16.05 million a year earlier and down 13.7% from the prior quarter.
Vistagen Therapeutics (VTGN) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vistagen Therapeutics reported Operating Expenses of $72.17 million, up 19.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $73.4 million, up 30.0% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 31.0% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $56.46 million in FY2025 (+65.6%), $34.09 million in FY2024 (-42.3%), $59.04 million in FY2023 (+20.8%) and $48.89 million in FY2022 (+157.0%).
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Expenses since fiscal Q4 2025.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 40.9%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 262.7%), and the weakest in fiscal Q1 2024 (a decline of 64.3%).
- Business Quant data shows VTGN's Operating Expenses at $17.18 million (Q4 2026), $19.85 million (Q3 2026) and $20.31 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Vistagen Therapeutics | 13.76 Mn | 13.76 Mn | - | 14.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.82 Mn |
| Mar 31, 2026 | 17.18 Mn |
| Dec 31, 2025 | 19.85 Mn |
| Sep 30, 2025 | 20.31 Mn |
| Jun 30, 2025 | 16.05 Mn |
| Mar 31, 2025 | 14.48 Mn |
| Dec 31, 2024 | 15.35 Mn |
| Sep 30, 2024 | 14.41 Mn |
| Jun 30, 2024 | 12.22 Mn |
| Mar 31, 2024 | 11.56 Mn |
| Dec 31, 2023 | 8.30 Mn |
| Sep 30, 2023 | 7.06 Mn |
| Jun 30, 2023 | 7.18 Mn |
| Mar 31, 2023 | 12.42 Mn |
| Dec 31, 2022 | 9.95 Mn |
| Sep 30, 2022 | 16.60 Mn |
| Jun 30, 2022 | 20.08 Mn |
| Mar 31, 2022 | 16.73 Mn |
| Dec 31, 2021 | 10.90 Mn |
| Sep 30, 2021 | 13.16 Mn |
Vistagen Therapeutics Operating Expenses 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=operating-expenses&ticker=VTGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VTGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();