HeartSciences (HSCS) Total Liabilities (2022 - 2026)
HeartSciences (HSCS) posted Total Liabilities of $5.77 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 75.1% from $3.3 million a year earlier and up 14.6% from the prior quarter.
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Analysis
HeartSciences (HSCS) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), HeartSciences' Total Liabilities came in at $5.04 million, up 25.4% from FY2025.
- Annual Total Liabilities shows a four-year compound annual growth rate of -11.3% (FY2022 to FY2026).
- In prior fiscal years, HeartSciences' Total Liabilities was $4.02 million in FY2025 (+83.8%), $2.19 million in FY2024 (-28.5%), $3.06 million in FY2023 (-62.5%) and $8.15 million in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q4 2022.
- On a year-over-year basis, Total Liabilities increased in five of the last seven quarters, with growth averaging 36.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2025, with growth of 83.8%; the weakest was fiscal Q4 2023, with a decline of 62.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | HeartSciences | 16.25 Mn | 11.52 Mn | 1,340.00 | 5.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.77 Mn |
| Apr 30, 2026 | 5.04 Mn |
| Dec 31, 2025 | 4.02 Mn |
| Oct 31, 2025 | 1.81 Mn |
| Jul 31, 2025 | 3.30 Mn |
| Apr 30, 2025 | 4.02 Mn |
| Jan 31, 2025 | 3.92 Mn |
| Oct 31, 2024 | 3.76 Mn |
| Jul 31, 2024 | 2.26 Mn |
| Apr 30, 2024 | 2.19 Mn |
| Jan 31, 2024 | 2.17 Mn |
| Oct 31, 2023 | 4.02 Mn |
| Jul 31, 2023 | 3.12 Mn |
| Apr 30, 2023 | 3.06 Mn |
| Jan 31, 2023 | 3.74 Mn |
| Oct 31, 2022 | 3.69 Mn |
| Jul 31, 2022 | 2.68 Mn |
| Apr 30, 2022 | 8.15 Mn |
API Access
HeartSciences Total Liabilities 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=total-liabilities&ticker=HSCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HSCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();