Psyence Biomedical (PBM) Operating Expenses (2023 - 2025)
Psyence Biomedical's Operating Expenses was $2.35 million in the year ended Mar 31, 2026, up 52.1% from $1.55 million a year earlier.
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Analysis
Psyence Biomedical (PBM) Operating Expenses (2023 - 2025) Analysis & Trends
From the year ended Mar 31, 2023 onward, Psyence Biomedical has reported Operating Expenses for 4 years.
- Operating Expenses shows a three-year compound annual growth rate of 6.0% (years ended Mar 2023 to Mar 2026).
- Per Business Quant data, Operating Expenses in earlier years was $1.55 million in the year ended Mar 31, 2025 (+2.3%), $1.51 million in the year ended Mar 31, 2024 (-23.4%) and $1.98 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Psyence Biomedical | 3.13 Mn | 3.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 573,339.00 |
| Sep 30, 2024 | 509,686.00 |
| Sep 30, 2023 | 557,054.00 |
API Access
Psyence Biomedical 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=PBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PBM", "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=PBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();