PharmaCyte Biotech (PMCB) Operating Expenses (2010 - 2026)
PharmaCyte Biotech's Operating Expenses came in at $1.01 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 18.7% from $848,305 a year earlier but down 59.9% from the prior quarter.
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Analysis
PharmaCyte Biotech (PMCB) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, PharmaCyte Biotech reported Operating Expenses of $7.01 million, up 77.2% year-over-year; for FY2026 (ended Apr 30, 2026), it was $6.85 million, up 56.6% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 13.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $4.38 million in FY2025 (-48.6%), $8.52 million in FY2024 (+32.0%), $6.46 million in FY2023 (+47.0%) and $4.39 million in FY2022 (+21.2%).
- The five-year range for quarterly Operating Expenses is $848,305 (fiscal Q1 2026) to $3.17 million (fiscal Q4 2024).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 16.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2024 (growth of 250.5%), and the weakest in fiscal Q4 2025 (a decline of 67.1%).
- Business Quant data shows PMCB's Operating Expenses at $2.51 million (Q4 2026), $2.12 million (Q3 2026) and $1.38 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
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 | PharmaCyte Biotech | 4.40 Mn | 4.40 Mn | - | 1.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.01 Mn |
| Apr 30, 2026 | 2.51 Mn |
| Jan 31, 2026 | 2.12 Mn |
| Oct 31, 2025 | 1.38 Mn |
| Jul 31, 2025 | 848,305.00 |
| Apr 30, 2025 | 1.04 Mn |
| Jan 31, 2025 | 960,252.00 |
| Oct 31, 2024 | 1.11 Mn |
| Jul 31, 2024 | 1.27 Mn |
| Apr 30, 2024 | 3.17 Mn |
| Jan 31, 2024 | 1.87 Mn |
| Oct 31, 2023 | 1.41 Mn |
| Jul 31, 2023 | 2.08 Mn |
| Apr 30, 2023 | 903,283.00 |
| Jan 31, 2023 | 1.55 Mn |
| Oct 31, 2022 | 2.32 Mn |
| Jul 31, 2022 | 1.68 Mn |
| Apr 30, 2022 | 1.51 Mn |
| Jan 31, 2022 | 856,119.00 |
| Oct 31, 2021 | 1.00 Mn |
API Access
PharmaCyte Biotech 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=PMCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();