Biotricity (BTCY) Total Non-Current Liabilities (2016 - 2026)
Biotricity (BTCY) reported Total Non-Current Liabilities of $39.93 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.9% from $37.35 million a year earlier and up 0.5% from the prior quarter.
Biotricity (BTCY) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Biotricity posted Total Non-Current Liabilities of $39.73 million, up 9.8% from FY2025.
- Total Non-Current Liabilities has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 29.6% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $36.18 million in FY2025 (+0.6%), $35.97 million in FY2024 (+40.5%), $25.6 million in FY2023 (+38.6%) and $18.47 million in FY2022 (+70.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2017.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 19 quarters, with growth averaging 9.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2023 (growth of 195.4%); the low point was fiscal Q2 2022 (a decline of 29.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $39.73 million (Q4 2026), $38.51 million (Q3 2026) and $38.35 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | - |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Biotricity | 1.27 Mn | 89,191.51 | 3.53 Mn | 39.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.93 Mn |
| Mar 31, 2026 | 39.73 Mn |
| Dec 31, 2025 | 38.51 Mn |
| Sep 30, 2025 | 38.35 Mn |
| Jun 30, 2025 | 37.35 Mn |
| Mar 31, 2025 | 36.18 Mn |
| Dec 31, 2024 | 36.42 Mn |
| Sep 30, 2024 | 34.81 Mn |
| Jun 30, 2024 | 33.88 Mn |
| Mar 31, 2024 | 35.97 Mn |
| Dec 31, 2023 | 30.04 Mn |
| Sep 30, 2023 | 27.97 Mn |
| Jun 30, 2023 | 28.88 Mn |
| Mar 31, 2023 | 25.60 Mn |
| Dec 31, 2022 | 21.39 Mn |
| Sep 30, 2022 | 17.98 Mn |
| Jun 30, 2022 | 18.17 Mn |
| Mar 31, 2022 | 18.47 Mn |
| Dec 31, 2021 | 18.44 Mn |
| Sep 30, 2021 | 6.09 Mn |
Biotricity Total Non-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-non-current-liabilities&ticker=BTCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();