Biotricity (BTCY) Accumulated Expenses (2016 - 2026)
Biotricity (BTCY) posted Accumulated Expenses of $4.63 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 46.8% from $3.15 million a year earlier and up 2.1% from the prior quarter.
Biotricity (BTCY) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Biotricity's Accumulated Expenses came in at $4.53 million, up 49.5% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 25.1% (FY2021 to FY2026).
- In prior fiscal years, Biotricity's Accumulated Expenses was $3.03 million in FY2025 (-30.6%), $4.37 million in FY2024 (+171.8%), $1.61 million in FY2023 (+11.9%) and $1.44 million in FY2022 (-2.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2017.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 20.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2024, with growth of 171.8%; the weakest was fiscal Q4 2025, with a decline of 30.6%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $4.53 million (Q4 2026), $3.73 million (Q3 2026) and $3.14 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn |
| 10 | Biotricity | 1.27 Mn | 89,191.51 | 3.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2026 | 4.53 Mn |
| Dec 31, 2025 | 3.73 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Jun 30, 2025 | 3.15 Mn |
| Mar 31, 2025 | 3.03 Mn |
| Dec 31, 2024 | 3.75 Mn |
| Sep 30, 2024 | 4.23 Mn |
| Jun 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 4.37 Mn |
| Dec 31, 2023 | 2.89 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 2.39 Mn |
| Mar 31, 2023 | 1.61 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.41 Mn |
| Jun 30, 2022 | 1.24 Mn |
| Mar 31, 2022 | 1.44 Mn |
| Dec 31, 2021 | 1.49 Mn |
| Mar 31, 2021 | 1.48 Mn |
Biotricity Accumulated 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=accumulated-expenses&ticker=BTCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();