HeartBeam (BEAT) Total Liabilities (2020 - 2026)
HeartBeam (BEAT) reported Total Liabilities of $2.46 million for Q2 2026, up 36.7% from $1.8 million a year earlier but down 25.3% from the prior quarter.
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Analysis
HeartBeam (BEAT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, HeartBeam posted Total Liabilities of $3.24 million, up 99.8% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.62 million in FY2024 (+35.8%), $1.19 million in FY2023 (-28.3%), $1.67 million in FY2022 (+183.2%) and $588,000 in FY2021 (-87.8%).
- Five-year quarterly Total Liabilities spans a low of $514,000 in Q1 2022 and a high of $6.15 million in Q3 2021.
- Year over year, Total Liabilities has now increased in each of the last nine quarters, with growth averaging 58.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2023 (growth of 351.4%); the low point was Q4 2021 (a decline of 87.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.29 million (Q1 2026), $3.24 million (Q4 2025) and $2.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | HeartBeam | 20.85 Mn | 20.85 Mn | - | 2.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.46 Mn |
| Mar 31, 2026 | 3.29 Mn |
| Dec 31, 2025 | 3.24 Mn |
| Sep 30, 2025 | 2.47 Mn |
| Jun 30, 2025 | 1.80 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 1.62 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 1.42 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 1.02 Mn |
| Jun 30, 2023 | 570,000.00 |
| Mar 31, 2023 | 2.32 Mn |
| Dec 31, 2022 | 1.67 Mn |
| Sep 30, 2022 | 932,000.00 |
| Jun 30, 2022 | 770,000.00 |
| Mar 31, 2022 | 514,000.00 |
| Dec 31, 2021 | 588,000.00 |
| Sep 30, 2021 | 6.15 Mn |
API Access
HeartBeam 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=BEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BEAT", "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=BEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();