BriaCell Therapeutics (BCTX) Non Operating Interest Expenses (2021 - 2026)
BriaCell Therapeutics' Non Operating Interest Expenses was $29,631 in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 19.9% from $36,979 a year earlier.
BriaCell Therapeutics (BCTX) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, BriaCell Therapeutics' Non Operating Interest Expenses was $66,610 through Apr 30, 2026, up 80.1% year-over-year; for FY2025 (ended Jul 31, 2025), it was $36,979.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier fiscal years, Non Operating Interest Expenses was $979.00 in FY2022 (-97.9%) and $46,095 in FY2021 (+56.4%).
- The fiscal Q3 2026 figure marks the lowest quarterly Non Operating Interest Expenses since fiscal Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | BriaCell Therapeutics | 31.03 Mn | 30.38 Mn | - | 29,631.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 29,631.00 |
| Apr 30, 2025 | 36,979.00 |
| Oct 31, 2021 | 979.00 |
| Jul 31, 2021 | -77,832.00 |
| Apr 30, 2021 | -62,417.00 |
| Jan 31, 2021 | -45,788.00 |
BriaCell Therapeutics Non Operating Interest 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=non-operating-interest-expenses&ticker=BCTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BCTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();