HeartSciences (HSCS) Cash from Financing Activities (2022 - 2026)
HeartSciences (HSCS) recorded Cash from Financing Activities of -$27,942 in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $3.65 million a year earlier.
HeartSciences (HSCS) Cash from Financing Activities (2022 - 2026) Analysis & Trends
On a TTM basis, HeartSciences' Cash from Financing Activities came in at $5.07 million as of Jul 31, 2026, down 13.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $8.03 million, up 193.7% from FY2025.
- Annual Cash from Financing Activities has a four-year compound annual growth rate of 20.2% (FY2022 to FY2026).
- Across earlier fiscal years, Cash from Financing Activities came in at $2.73 million in FY2025 (-73.6%), $10.34 million in FY2024 (+58.3%), $6.53 million in FY2023 (+70.1%) and $3.84 million in FY2022.
- Quarterly Cash from Financing Activities has ranged from -$121,522 in fiscal Q3 2023 to $9.13 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Cash from Financing Activities rose in two of the last five quarters, with growth averaging 127.7%.
- Peak year-over-year performance for Cash from Financing Activities in the last five years was growth of 561.3% in fiscal Q1 2026, against a decline of 98.0% in fiscal Q3 2025 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Financing (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | -1.57 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | -3.52 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 7.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | -287.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -343.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -95.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | -410.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | -300,000.00 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | -577.00 Mn |
| 10 | HeartSciences | 15.34 Mn | 10.60 Mn | 1,340.00 | -27,942.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -27,942.00 |
| Apr 30, 2026 | -63,673.00 |
| Oct 31, 2025 | 1.51 Mn |
| Jul 31, 2025 | 3.65 Mn |
| Apr 30, 2025 | 100,028.00 |
| Jan 31, 2025 | 180,187.00 |
| Oct 31, 2024 | 1.90 Mn |
| Jul 31, 2024 | 551,683.00 |
| Apr 30, 2024 | 377,142.00 |
| Jan 31, 2024 | 9.13 Mn |
| Oct 31, 2023 | 514,629.00 |
| Jul 31, 2023 | 324,362.00 |
| Apr 30, 2023 | 1.60 Mn |
| Jan 31, 2023 | -121,522.00 |
| Oct 31, 2022 | -116,392.00 |
| Jul 31, 2022 | 5.17 Mn |
| Apr 30, 2022 | 782,374.00 |
| Jan 31, 2022 | 1.92 Mn |
HeartSciences Cash from Financing Activities 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=cash-from-financing-activities&ticker=HSCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-financing-activities", "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=cash-from-financing-activities&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();