Biotricity (BTCY) Operating Expenses (2014 - 2026)
Biotricity (BTCY) recorded Operating Expenses of $3.37 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 19.0% from $2.83 million a year earlier and up 24.7% from the prior quarter.
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Analysis
Biotricity (BTCY) Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Biotricity's Operating Expenses came in at $11.8 million as of Jun 30, 2026, down 4.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $11.26 million, down 13.5% from FY2025.
- Annual Operating Expenses has declined for four straight fiscal years, with a five-year compound annual growth rate of -5.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $13.01 million in FY2025 (-24.3%), $17.18 million in FY2024 (-17.6%), $20.85 million in FY2023 (-2.1%) and $21.31 million in FY2022 (+45.7%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 13.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 110.5% in fiscal Q2 2022, against a decline of 34.2% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.7 million (Q4 2026), $2.81 million (Q3 2026) and $2.91 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Biotricity | 1.00 Mn | -177,375.24 | 3.53 Mn | 3.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 Mn |
| Mar 31, 2026 | 2.70 Mn |
| Dec 31, 2025 | 2.81 Mn |
| Sep 30, 2025 | 2.91 Mn |
| Jun 30, 2025 | 2.83 Mn |
| Mar 31, 2025 | 3.83 Mn |
| Dec 31, 2024 | 2.93 Mn |
| Sep 30, 2024 | 2.77 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 5.32 Mn |
| Dec 31, 2023 | 3.45 Mn |
| Sep 30, 2023 | 4.18 Mn |
| Jun 30, 2023 | 4.23 Mn |
| Mar 31, 2023 | 4.99 Mn |
| Dec 31, 2022 | 5.24 Mn |
| Sep 30, 2022 | 5.31 Mn |
| Jun 30, 2022 | 5.31 Mn |
| Mar 31, 2022 | 5.27 Mn |
| Dec 31, 2021 | 5.56 Mn |
| Sep 30, 2021 | 6.30 Mn |
API Access
Biotricity 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=BTCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BTCY", "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=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();