BriaCell Therapeutics (BCTX) Operating Expenses (2021 - 2026)
BriaCell Therapeutics (BCTX) recorded Operating Expenses of $7.62 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 20.4% from $6.33 million a year earlier and up 1.2% from the prior quarter.
BriaCell Therapeutics (BCTX) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, BriaCell Therapeutics' Operating Expenses came in at $32.03 million as of Apr 30, 2026, up 31.2% year-over-year; for FY2025 (ended Jul 31, 2025), it was $27.2 million, down 18.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 47.2% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $33.33 million in FY2024 (+43.2%), $23.27 million in FY2023 (+52.2%), $15.29 million in FY2022 (+119.2%) and $6.97 million in FY2021 (+77.0%).
- Quarterly Operating Expenses has ranged from $1.6 million in fiscal Q4 2021 to $9.83 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 227.9% in fiscal Q4 2022, against a decline of 39.4% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.53 million (Q2 2026), $8.32 million (Q1 2026) and $8.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | BriaCell Therapeutics | 30.16 Mn | 29.51 Mn | - | 7.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 7.62 Mn |
| Jan 31, 2026 | 7.53 Mn |
| Oct 31, 2025 | 8.32 Mn |
| Jul 31, 2025 | 8.55 Mn |
| Apr 30, 2025 | 6.33 Mn |
| Jan 31, 2025 | 7.17 Mn |
| Oct 31, 2024 | 5.15 Mn |
| Jul 31, 2024 | 5.77 Mn |
| Apr 30, 2024 | 9.23 Mn |
| Jan 31, 2024 | 9.83 Mn |
| Oct 31, 2023 | 8.50 Mn |
| Jul 31, 2023 | 7.71 Mn |
| Apr 30, 2023 | 5.68 Mn |
| Jan 31, 2023 | 4.49 Mn |
| Oct 31, 2022 | 5.40 Mn |
| Jul 31, 2022 | 5.23 Mn |
| Apr 30, 2022 | 4.12 Mn |
| Jan 31, 2022 | 3.65 Mn |
| Oct 31, 2021 | 2.28 Mn |
| Jul 31, 2021 | 1.60 Mn |
BriaCell Therapeutics 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=BCTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BCTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();