HeartSciences (HSCS) Non Operating Interest Expenses (2021 - 2026)
HeartSciences' Non Operating Interest Expenses was $235,261 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 28.1% from $183,688 a year earlier and up 3.0% from the prior quarter.
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Analysis
HeartSciences (HSCS) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, HeartSciences' Non Operating Interest Expenses was $926,793 through Jul 31, 2026, up 40.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $753,041, up 50.5% from FY2025.
- Non Operating Interest Expenses has now increased for three consecutive fiscal years, with a four-year compound annual growth rate of 19.3% (FY2022 to FY2026).
- In earlier fiscal years, Non Operating Interest Expenses was $500,453 in FY2025 (+41.3%), $354,080 in FY2024 (+45.6%), $243,174 in FY2023 (-34.6%) and $371,619 in FY2022.
- Quarterly Non Operating Interest Expenses has moved between $20,937 (fiscal Q4 2024) and $279,534 (fiscal Q2 2026) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in six of the last seven quarters, with growth averaging 241.2%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q4 2025 (growth of 763.8%); the worst was fiscal Q3 2023 (a decline of 76.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | HeartSciences | 14.27 Mn | 9.54 Mn | 1,340.00 | 235,261.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 235,261.00 |
| Apr 30, 2026 | 228,310.00 |
| Oct 31, 2025 | 279,534.00 |
| Jul 31, 2025 | 183,688.00 |
| Apr 30, 2025 | 180,852.00 |
| Jan 31, 2025 | 179,477.00 |
| Oct 31, 2024 | 117,598.00 |
| Jul 31, 2024 | 22,526.00 |
| Apr 30, 2024 | 20,937.00 |
| Jan 31, 2024 | 118,445.00 |
| Oct 31, 2023 | 178,438.00 |
| Jul 31, 2023 | 36,260.00 |
| Apr 30, 2023 | 33,957.00 |
| Jan 31, 2023 | 32,805.00 |
| Oct 31, 2022 | 32,805.00 |
| Jul 31, 2022 | 143,607.00 |
| Apr 30, 2022 | 77,033.00 |
| Jan 31, 2022 | 139,067.00 |
| Oct 31, 2021 | 77,914.00 |
| Jul 31, 2021 | 77,605.00 |
API Access
HeartSciences Non Operating 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=non-operating-interest-expenses&ticker=HSCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "HSCS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();