PharmaCyte Biotech (PMCB) Total Liabilities (2009 - 2026)
PharmaCyte Biotech (PMCB) posted Total Liabilities of $9.2 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 506.0% from $1.52 million a year earlier but down 31.6% from the prior quarter.
PharmaCyte Biotech (PMCB) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), PharmaCyte Biotech's Total Liabilities came in at $13.46 million, up 310.7% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 79.4% (FY2021 to FY2026).
- In prior fiscal years, PharmaCyte Biotech's Total Liabilities was $3.28 million in FY2025 (-89.8%), $32.26 million in FY2024, $586,581 in FY2023 (-16.7%) and $704,370 in FY2022 (-2.8%).
- Quarterly Total Liabilities has run from a low of $186,122 in fiscal Q2 2022 to a high of $42.11 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 118.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 604.4%; the weakest was fiscal Q1 2026, with a decline of 93.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $13.46 million (Q4 2026), $17.76 million (Q3 2026) and $20.74 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | PharmaCyte Biotech | 4.29 Mn | -68.55 Mn | - | 9.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.20 Mn |
| Apr 30, 2026 | 13.46 Mn |
| Jan 31, 2026 | 17.76 Mn |
| Oct 31, 2025 | 20.74 Mn |
| Jul 31, 2025 | 1.52 Mn |
| Apr 30, 2025 | 3.28 Mn |
| Jan 31, 2025 | 3.58 Mn |
| Oct 31, 2024 | 11.65 Mn |
| Jul 31, 2024 | 22.49 Mn |
| Apr 30, 2024 | 32.26 Mn |
| Jan 31, 2024 | 39.98 Mn |
| Oct 31, 2023 | 42.11 Mn |
| Jul 31, 2023 | 40.69 Mn |
| Apr 30, 2023 | 586,581.00 |
| Jan 31, 2023 | 827,834.00 |
| Oct 31, 2022 | 1.31 Mn |
| Jul 31, 2022 | 1.09 Mn |
| Apr 30, 2022 | 704,370.00 |
| Jan 31, 2022 | 612,976.00 |
| Oct 31, 2021 | 186,122.00 |
PharmaCyte Biotech 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=PMCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PMCB", "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=PMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();