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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Biotricity | 1.20 Mn | 23,371.47 | 3.53 Mn | 37.34 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();