Biotricity (BTCY) Total Current Liabilities (2016 - 2026)
Biotricity's Total Current Liabilities was $37.34 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 71.2% from $21.81 million a year earlier and up 0.5% from the prior quarter.
Biotricity (BTCY) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at Biotricity came in at $37.14 million, up 80.0% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 28.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $20.64 million in FY2025 (-9.1%), $22.7 million in FY2024 (+103.4%), $11.16 million in FY2023 (+129.3%) and $4.87 million in FY2022 (-53.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2019.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 25.6% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2024 (growth of 306.1%); the worst was fiscal Q1 2023 (a decline of 62.8%).
- Per Business Quant data, BTCY's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $37.14 million (Q4 2026), $23.8 million (Q3 2026) and $23.61 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Biotricity | 1.27 Mn | 89,191.51 | 3.53 Mn | 37.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.34 Mn |
| Mar 31, 2026 | 37.14 Mn |
| Dec 31, 2025 | 23.80 Mn |
| Sep 30, 2025 | 23.61 Mn |
| Jun 30, 2025 | 21.81 Mn |
| Mar 31, 2025 | 20.64 Mn |
| Dec 31, 2024 | 21.14 Mn |
| Sep 30, 2024 | 21.49 Mn |
| Jun 30, 2024 | 20.58 Mn |
| Mar 31, 2024 | 22.70 Mn |
| Dec 31, 2023 | 18.62 Mn |
| Sep 30, 2023 | 17.82 Mn |
| Jun 30, 2023 | 15.10 Mn |
| Mar 31, 2023 | 11.16 Mn |
| Dec 31, 2022 | 7.29 Mn |
| Sep 30, 2022 | 4.39 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 4.87 Mn |
| Dec 31, 2021 | 4.83 Mn |
| Sep 30, 2021 | 5.21 Mn |
Biotricity Total Current Liabilities 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=total-current-liabilities&ticker=BTCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();