Bright Minds Biosciences (DRUG) Operating Expenses (2019 - 2026)
Bright Minds Biosciences (DRUG) posted Operating Expenses of $6.97 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 238.2% from $2.06 million a year earlier but down 30.7% from the prior quarter.
Bright Minds Biosciences (DRUG) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bright Minds Biosciences was $25.01 million, down 100.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $8.49 million, down 100.0% from FY2024.
- In prior fiscal years, Bright Minds Biosciences' Operating Expenses was $867.55 billion in FY2024, -$5.47 trillion in FY2023, -$11.72 trillion in FY2022 and -$6.84 trillion in FY2021.
- Quarterly Operating Expenses has run from a low of -$354,972 in fiscal Q3 2024 to a high of $9.71 trillion in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 148.4% over the last six quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2026, with growth of 436.3%; the weakest was fiscal Q4 2025, with a decline of 100.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $10.06 million (Q2 2026), $4.31 million (Q1 2026) and $3.67 million (Q4 2025).
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 | Bright Minds Biosciences | 380.42 Mn | 380.42 Mn | - | 6.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.97 Mn |
| Mar 31, 2026 | 10.06 Mn |
| Dec 31, 2025 | 4.31 Mn |
| Sep 30, 2025 | 3.67 Mn |
| Jun 30, 2025 | 2.06 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 803,852.77 |
| Sep 30, 2024 | 865.01 Bn |
| Jun 30, 2024 | -354,971.66 |
| Mar 31, 2024 | 119,587.83 |
| Dec 31, 2023 | 951,047.22 |
| Sep 30, 2023 | 3,729.61 Bn |
| Jun 30, 2023 | 873,040.99 |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 1.12 Mn |
| Sep 30, 2022 | 9,706.38 Bn |
| Jun 30, 2022 | 1.68 Mn |
| Mar 31, 2022 | 3.01 Mn |
| Dec 31, 2021 | 3.22 Mn |
| Sep 30, 2021 | 5,172.49 Bn |
Bright Minds Biosciences 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=DRUG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DRUG", "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=DRUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();