HeartSciences (HSCS) Operating Expenses (2021 - 2026)
HeartSciences (HSCS) recorded Operating Expenses of $2.94 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 56.8% from $1.88 million a year earlier and up 15.9% from the prior quarter.
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Analysis
HeartSciences (HSCS) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, HeartSciences' Operating Expenses came in at $9.43 million as of Jul 31, 2026, up 15.6% year-over-year; for FY2026 (ended Apr 30, 2026), it was $8.42 million, up 0.7% from FY2025.
- Annual Operating Expenses has increased for four straight fiscal years, with a four-year compound annual growth rate of 15.6% (FY2022 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $8.36 million in FY2025 (+32.2%), $6.32 million in FY2024 (+3.3%), $6.12 million in FY2023 (+29.7%) and $4.72 million in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2022.
- On a year-over-year basis, Operating Expenses rose in six of the last seven quarters, with growth averaging 23.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 111.7% in fiscal Q1 2023, against a decline of 19.3% in fiscal Q4 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | HeartSciences | 14.86 Mn | 10.12 Mn | 1,340.00 | 2.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.94 Mn |
| Apr 30, 2026 | 2.54 Mn |
| Oct 31, 2025 | 2.07 Mn |
| Jul 31, 2025 | 1.88 Mn |
| Apr 30, 2025 | 1.92 Mn |
| Jan 31, 2025 | 2.37 Mn |
| Oct 31, 2024 | 1.99 Mn |
| Jul 31, 2024 | 2.08 Mn |
| Apr 30, 2024 | 1.88 Mn |
| Jan 31, 2024 | 1.54 Mn |
| Oct 31, 2023 | 1.57 Mn |
| Jul 31, 2023 | 1.33 Mn |
| Apr 30, 2023 | 1.60 Mn |
| Jan 31, 2023 | 1.31 Mn |
| Oct 31, 2022 | 1.77 Mn |
| Jul 31, 2022 | 1.43 Mn |
| Apr 30, 2022 | 1.98 Mn |
| Jan 31, 2022 | 1.10 Mn |
| Oct 31, 2021 | 956,856.00 |
| Jul 31, 2021 | 676,174.00 |
API Access
HeartSciences Operating 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=operating-expenses&ticker=HSCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();