HeartSciences (HSCS) EBT (2021 - 2026)
HeartSciences' EBT was -$3.17 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$2.06 million a year earlier.
HeartSciences (HSCS) EBT (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, HeartSciences' EBT was -$10.35 million through Jul 31, 2026; for FY2026 (ended Apr 30, 2026), it came in at -$9.17 million.
- In earlier fiscal years, EBT was -$8.85 million in FY2025, -$6.66 million in FY2024, -$6.36 million in FY2023 and -$5.08 million in FY2022.
- The fiscal Q1 2027 figure marks the lowest quarterly EBT in data going back to fiscal Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 554.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 519.80 Mn |
| 10 | HeartSciences | 16.25 Mn | 11.52 Mn | 1,340.00 | -3.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -3.17 Mn |
| Apr 30, 2026 | -2.76 Mn |
| Oct 31, 2025 | -2.35 Mn |
| Jul 31, 2025 | -2.06 Mn |
| Apr 30, 2025 | -2.10 Mn |
| Jan 31, 2025 | -2.55 Mn |
| Oct 31, 2024 | -2.10 Mn |
| Jul 31, 2024 | -2.10 Mn |
| Apr 30, 2024 | -1.90 Mn |
| Jan 31, 2024 | -1.64 Mn |
| Oct 31, 2023 | -1.75 Mn |
| Jul 31, 2023 | -1.37 Mn |
| Apr 30, 2023 | -1.63 Mn |
| Jan 31, 2023 | -1.34 Mn |
| Oct 31, 2022 | -1.81 Mn |
| Jul 31, 2022 | -1.57 Mn |
| Apr 30, 2022 | -2.05 Mn |
| Jan 31, 2022 | -1.24 Mn |
| Oct 31, 2021 | -1.03 Mn |
| Jul 31, 2021 | -752,051.00 |
HeartSciences EBT 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=ebt&ticker=HSCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();