HeartSciences (HSCS) Selling, General & Administrative (2021 - 2026)
HeartSciences (HSCS) recorded Selling, General & Administrative of $2.03 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 131.6% from $878,053 a year earlier but down 1.3% from the prior quarter.
HeartSciences (HSCS) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a TTM basis, HeartSciences' Selling, General & Administrative came in at $6.32 million as of Jul 31, 2026, up 58.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $5.58 million, up 40.5% from FY2025.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 34.3% (FY2022 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $3.97 million in FY2025 (+15.4%), $3.44 million in FY2024 (-5.9%), $3.65 million in FY2023 (+113.2%) and $1.71 million in FY2022.
- Quarterly Selling, General & Administrative has ranged from $403,158 in fiscal Q3 2022 to $2.06 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last seven quarters, with growth averaging 51.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 262.5% in fiscal Q1 2023, against a decline of 23.3% in fiscal Q1 2024 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | HeartSciences | 15.78 Mn | 11.04 Mn | 1,340.00 | 2.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.03 Mn |
| Apr 30, 2026 | 2.06 Mn |
| Oct 31, 2025 | 1.35 Mn |
| Jul 31, 2025 | 878,053.00 |
| Apr 30, 2025 | 993,778.00 |
| Jan 31, 2025 | 1.34 Mn |
| Oct 31, 2024 | 786,068.00 |
| Jul 31, 2024 | 850,736.00 |
| Apr 30, 2024 | 833,678.00 |
| Jan 31, 2024 | 1.03 Mn |
| Oct 31, 2023 | 815,020.00 |
| Jul 31, 2023 | 765,023.00 |
| Apr 30, 2023 | 1.06 Mn |
| Jan 31, 2023 | 667,235.00 |
| Oct 31, 2022 | 925,929.00 |
| Jul 31, 2022 | 997,063.00 |
| Apr 30, 2022 | 625,049.00 |
| Jan 31, 2022 | 403,158.00 |
| Oct 31, 2021 | 411,083.00 |
| Jul 31, 2021 | 275,060.00 |
HeartSciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=HSCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();