Bright Minds Biosciences (DRUG) Total Current Liabilities (2019 - 2026)
Bright Minds Biosciences' Total Current Liabilities was $1.84 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 321.2% from $436,630 a year earlier but down 34.2% from the prior quarter.
Bright Minds Biosciences (DRUG) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Current Liabilities at Bright Minds Biosciences came in at $1.67 million, up 329.9% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 71.6% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $388,689 in FY2024 (+86.6%), $208,308 in FY2023 (-81.9%), $1.15 million in FY2022 (+128.3%) and $505,261 in FY2021 (+350.0%).
- Quarterly Total Current Liabilities has moved between $130,602 (fiscal Q3 2024) and $2.79 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 209.2% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2026 (growth of 528.6%); the worst was fiscal Q4 2023 (a decline of 81.4%).
- Per Business Quant data, DRUG's Total Current Liabilities in the three fiscal quarters before Q3 2026 was $2.79 million (Q2 2026), $1.13 million (Q1 2026) and $1.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 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 | 1.13 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 436,629.57 |
| Mar 31, 2025 | 444,609.02 |
| Dec 31, 2024 | 330,380.13 |
| Sep 30, 2024 | 387,552.88 |
| 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 | 536,598.36 |
| Mar 31, 2023 | 743,977.73 |
| Dec 31, 2022 | 389,049.88 |
| Sep 30, 2022 | 1.13 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 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-current-liabilities&ticker=DRUG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=DRUG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();