Biotricity (BTCY) Cost of Revenue (2014 - 2026)
Biotricity (BTCY) recorded Cost of Revenue of $746,136 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 1.5% from $757,193 a year earlier and down 12.4% from the prior quarter.
Biotricity (BTCY) Cost of Revenue (2014 - 2026) Analysis & Trends
On a TTM basis, Biotricity's Cost of Revenue came in at $3.04 million as of Jun 30, 2026, down 3.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.05 million, down 5.5% from FY2025.
- Annual Cost of Revenue has declined for three straight fiscal years, though with a five-year compound annual growth rate of 7.6% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $3.23 million in FY2025 (-13.0%), $3.71 million in FY2024 (-11.7%), $4.2 million in FY2023 (+36.3%) and $3.08 million in FY2022 (+45.8%).
- Quarterly Cost of Revenue has ranged from $672,711 in fiscal Q2 2022 to $1.21 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in two of the last eight quarters, with an average decline of 5.4%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 70.6% in fiscal Q4 2023, against a decline of 25.0% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $851,608 (Q4 2026), $736,343 (Q3 2026) and $704,297 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Biotricity | 1.00 Mn | -177,375.24 | 3.53 Mn | 746,136.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 746,136.00 |
| Mar 31, 2026 | 851,608.00 |
| Dec 31, 2025 | 736,343.00 |
| Sep 30, 2025 | 704,297.00 |
| Jun 30, 2025 | 757,193.00 |
| Mar 31, 2025 | 724,416.00 |
| Dec 31, 2024 | 855,140.00 |
| Sep 30, 2024 | 807,672.00 |
| Jun 30, 2024 | 838,575.00 |
| Mar 31, 2024 | 905,998.00 |
| Dec 31, 2023 | 804,986.00 |
| Sep 30, 2023 | 892,019.00 |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 830,923.00 |
| Mar 31, 2022 | 708,105.00 |
| Dec 31, 2021 | 1.11 Mn |
| Sep 30, 2021 | 672,711.00 |
Biotricity Cost of Revenue 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=cost-of-revenue&ticker=BTCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();