Biotricity (BTCY) Interest Expenses (2020 - 2026)
Biotricity's Interest Expenses was $851,753 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.2% from $850,254 a year earlier and up 1.3% from the prior quarter.
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Analysis
Biotricity (BTCY) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Biotricity's Interest Expenses was $3.36 million through Jun 30, 2026, up 0.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.36 million, up 3.1% from FY2025.
- Interest Expenses has now increased for four consecutive fiscal years, with a four-year compound annual growth rate of 27.2% (FY2022 to FY2026).
- In earlier fiscal years, Interest Expenses was $3.26 million in FY2025 (+8.1%), $3.02 million in FY2024 (+64.1%), $1.84 million in FY2023 (+43.3%) and $1.28 million in FY2022.
- Quarterly Interest Expenses has moved between $388,388 (fiscal Q1 2023) and $891,752 (fiscal Q4 2025) over five years.
- Compared with a year earlier, Interest Expenses was higher in five of the last eight quarters, with growth averaging 4.0%.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q3 2024 (growth of 91.1%); the worst was fiscal Q4 2026 (a decline of 5.7%).
- Per Business Quant data, BTCY's Interest Expenses in the three fiscal quarters before Q1 2027 was $840,938 (Q4 2026), $810,339 (Q3 2026) and $860,419 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | -417.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | - |
| 10 | Biotricity | 1.20 Mn | 23,371.47 | 3.53 Mn | 851,753.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 851,753.00 |
| Mar 31, 2026 | 840,938.00 |
| Dec 31, 2025 | 810,339.00 |
| Sep 30, 2025 | 860,419.00 |
| Jun 30, 2025 | 850,254.00 |
| Mar 31, 2025 | 891,752.00 |
| Dec 31, 2024 | 849,538.00 |
| Sep 30, 2024 | 752,075.00 |
| Jun 30, 2024 | 768,673.00 |
| Mar 31, 2024 | 814,943.00 |
| Dec 31, 2023 | 790,080.00 |
| Sep 30, 2023 | 753,268.00 |
| Jun 30, 2023 | 660,512.00 |
| Mar 31, 2023 | 633,817.00 |
| Dec 31, 2022 | 413,402.00 |
| Sep 30, 2022 | 403,551.00 |
| Jun 30, 2022 | 388,388.00 |
| Dec 31, 2021 | 41,479.00 |
| Dec 31, 2020 | 109,699.00 |
API Access
Biotricity Interest Expenses 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=interest-expenses&ticker=BTCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=BTCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();