Biotricity (BTCY) Total Liabilities (2014 - 2026)
Biotricity (BTCY) posted Total Liabilities of $41.43 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.7% from $38.84 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Biotricity (BTCY) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Biotricity's Total Liabilities came in at $41.12 million, up 9.2% from FY2025.
- Annual Total Liabilities has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 29.5% (FY2021 to FY2026).
- In prior fiscal years, Biotricity's Total Liabilities was $37.66 million in FY2025 (+0.7%), $37.41 million in FY2024 (+41.9%), $26.36 million in FY2023 (+40.0%) and $18.82 million in FY2022 (+67.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2017.
- On a year-over-year basis, Total Liabilities has increased in each of the last 19 quarters, with growth averaging 8.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 200.9%; the weakest was fiscal Q2 2022, with a decline of 34.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $41.12 million (Q4 2026), $39.92 million (Q3 2026) and $39.74 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Biotricity | 1.00 Mn | -177,375.24 | 3.53 Mn | 41.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.43 Mn |
| Mar 31, 2026 | 41.12 Mn |
| Dec 31, 2025 | 39.92 Mn |
| Sep 30, 2025 | 39.74 Mn |
| Jun 30, 2025 | 38.84 Mn |
| Mar 31, 2025 | 37.66 Mn |
| Dec 31, 2024 | 37.93 Mn |
| Sep 30, 2024 | 36.46 Mn |
| Jun 30, 2024 | 35.20 Mn |
| Mar 31, 2024 | 37.41 Mn |
| Dec 31, 2023 | 33.24 Mn |
| Sep 30, 2023 | 33.55 Mn |
| Jun 30, 2023 | 29.56 Mn |
| Mar 31, 2023 | 26.36 Mn |
| Dec 31, 2022 | 22.13 Mn |
| Sep 30, 2022 | 18.68 Mn |
| Jun 30, 2022 | 18.71 Mn |
| Mar 31, 2022 | 18.82 Mn |
| Dec 31, 2021 | 18.73 Mn |
| Sep 30, 2021 | 6.21 Mn |
API Access
Biotricity Total 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-liabilities&ticker=BTCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();