Bright Minds Biosciences (DRUG) Total Liabilities (2019 - 2026)
Bright Minds Biosciences (DRUG) posted Total Liabilities of $1.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 281.6% from $481,983 a year earlier but down 34.2% from the prior quarter.
Bright Minds Biosciences (DRUG) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Bright Minds Biosciences' Total Liabilities came in at $1.7 million, up 307.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 72.2% (FY2020 to FY2025).
- In prior fiscal years, Bright Minds Biosciences' Total Liabilities was $417,785 in FY2024 (+100.6%), $208,308 in FY2023 (-82.8%), $1.21 million in FY2022 (+139.4%) and $505,261 in FY2021 (+350.0%).
- Quarterly Total Liabilities has run from a low of $130,602 in fiscal Q3 2024 to a high of $2.79 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 192.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 451.8%; the weakest was fiscal Q4 2023, with a decline of 82.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $2.79 million (Q2 2026), $1.15 million (Q1 2026) and $1.73 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Bright Minds Biosciences | 379.80 Mn | 379.80 Mn | - | 1.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Mn |
| Mar 31, 2026 | 2.79 Mn |
| Dec 31, 2025 | 1.15 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 481,983.42 |
| Mar 31, 2025 | 506,527.26 |
| Dec 31, 2024 | 409,172.21 |
| Sep 30, 2024 | 416,564.20 |
| Jun 30, 2024 | 130,602.17 |
| Mar 31, 2024 | 627,669.70 |
| Dec 31, 2023 | 627,410.87 |
| Sep 30, 2023 | 209,499.05 |
| Jun 30, 2023 | 547,032.60 |
| Mar 31, 2023 | 769,668.86 |
| Dec 31, 2022 | 429,247.34 |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | 302,225.28 |
| Mar 31, 2022 | 792,250.41 |
| Dec 31, 2021 | 388,414.17 |
| Sep 30, 2021 | 507,288.34 |
Bright Minds Biosciences 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=DRUG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DRUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();