Biotricity (BTCY) Cash & Equivalents (2015 - 2026)
Biotricity (BTCY) posted Cash & Equivalents of $466,503 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 19.2% from $391,292 a year earlier and up 211.4% from the prior quarter.
Biotricity (BTCY) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Biotricity's Cash & Equivalents came in at $149,789, down 59.0% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -41.6% (FY2021 to FY2026).
- In prior fiscal years, Biotricity's Cash & Equivalents was $365,145 in FY2025 (-53.5%), $786,060 in FY2024 (+37.8%), $570,460 in FY2023 (-95.3%) and $12.07 million in FY2022 (+448.1%).
- The fiscal Q1 2027 figure stands as the highest quarterly Cash & Equivalents since fiscal Q3 2025.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 79.6%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2025, with growth of 498.9%; the weakest was fiscal Q1 2024, with a decline of 99.3%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $149,789 (Q4 2026), $256,357 (Q3 2026) and $308,460 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Biotricity | 1.00 Mn | -177,375.24 | 3.53 Mn | 466,503.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 466,503.00 |
| Mar 31, 2026 | 149,789.00 |
| Dec 31, 2025 | 256,357.00 |
| Sep 30, 2025 | 308,460.00 |
| Jun 30, 2025 | 391,292.00 |
| Mar 31, 2025 | 365,145.00 |
| Dec 31, 2024 | 509,601.00 |
| Sep 30, 2024 | 173,270.00 |
| Jun 30, 2024 | 100,731.00 |
| Mar 31, 2024 | 786,060.00 |
| Dec 31, 2023 | 85,094.00 |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 51,433.00 |
| Mar 31, 2023 | 570,460.00 |
| Dec 31, 2022 | 451,421.00 |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 7.21 Mn |
| Mar 31, 2022 | 12.07 Mn |
| Dec 31, 2021 | 16.79 Mn |
| Sep 30, 2021 | 11.69 Mn |
Biotricity Cash & Equivalents 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=cash-and-equivalents&ticker=BTCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();