BriaCell Therapeutics (BCTX) Total Liabilities (2019 - 2026)
BriaCell Therapeutics (BCTX) reported Total Liabilities of $3.66 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 27.6% from $5.06 million a year earlier but up 8.3% from the prior quarter.
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Analysis
BriaCell Therapeutics (BCTX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), BriaCell Therapeutics posted Total Liabilities of $4.32 million, down 49.6% from FY2024.
- Total Liabilities has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $8.56 million in FY2024 (-72.3%), $30.94 million in FY2023 (-4.1%), $32.25 million in FY2022 (+6.2%) and $30.37 million in FY2021 (+706.9%).
- Five-year quarterly Total Liabilities spans a low of $3.38 million in fiscal Q2 2026 and a high of $36.5 million in fiscal Q3 2022.
- Year over year, Total Liabilities has now declined in each of the last 13 quarters, with an average decline of 53.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2021 (growth of 720.5%); the low point was fiscal Q4 2024 (a decline of 72.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.38 million (Q2 2026), $3.72 million (Q1 2026) and $4.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | BriaCell Therapeutics | 30.16 Mn | 29.51 Mn | - | 3.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3.66 Mn |
| Jan 31, 2026 | 3.38 Mn |
| Oct 31, 2025 | 3.72 Mn |
| Jul 31, 2025 | 4.32 Mn |
| Apr 30, 2025 | 5.06 Mn |
| Jan 31, 2025 | 6.14 Mn |
| Oct 31, 2024 | 6.70 Mn |
| Jul 31, 2024 | 8.56 Mn |
| Apr 30, 2024 | 12.44 Mn |
| Jan 31, 2024 | 20.55 Mn |
| Oct 31, 2023 | 16.10 Mn |
| Jul 31, 2023 | 30.94 Mn |
| Apr 30, 2023 | 35.61 Mn |
| Jan 31, 2023 | 35.44 Mn |
| Oct 31, 2022 | 28.12 Mn |
| Jul 31, 2022 | 32.25 Mn |
| Apr 30, 2022 | 36.50 Mn |
| Jan 31, 2022 | 32.13 Mn |
| Jul 31, 2021 | 30.37 Mn |
| Jul 31, 2020 | 3.70 Mn |
API Access
BriaCell Therapeutics 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=BCTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BCTX", "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=BCTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();