HeartSciences (HSCS) Price to Sales (2022 - 2026)
HeartSciences' (HSCS) Price to Sales was 1246.04 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 91.5% from 650.72 a year earlier and up 111.0% from the prior quarter.
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Analysis
HeartSciences (HSCS) Price to Sales (2022 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Price to Sales at HeartSciences was 1185.36, up 31.3% from FY2025.
- By fiscal year, Price to Sales came in at 903.00 in FY2025 (+417.9%), 174.36 in FY2024 (-99.9%) and 137089.10 in FY2023.
- The fiscal Q1 2027 figure ranks as the highest quarterly Price to Sales since fiscal Q2 2024.
- Year over year, Price to Sales gained in three of the last four quarters, with growth averaging 59.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | HeartSciences | 15.78 Mn | 11.04 Mn | 1,340.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1,246.04 |
| Apr 30, 2026 | 590.56 |
| Oct 31, 2025 | 1,080.51 |
| Jul 31, 2025 | 650.72 |
| Apr 30, 2025 | 206.20 |
| Jan 31, 2025 | 187.71 |
| Apr 30, 2024 | 174.36 |
| Jan 31, 2024 | 464.43 |
| Oct 31, 2023 | 47,728.99 |
| Apr 30, 2023 | 137,089.10 |
| Jan 31, 2023 | 224,147.22 |
| Oct 31, 2022 | 198,975.91 |
| Jul 31, 2022 | 83,931.46 |
API Access
HeartSciences Price to Sales 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=price-to-sales&ticker=HSCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();