HeartBeam (BEAT) Accumulated Expenses (2023 - 2026)
HeartBeam (BEAT) posted Accumulated Expenses of $1.85 million for Q2 2026, up 88.0% from $985,000 a year earlier but down 27.3% from the prior quarter.
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Analysis
HeartBeam (BEAT) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, HeartBeam's Accumulated Expenses came in at $2.19 million, up 100.5% from FY2024.
- In prior years, HeartBeam's Accumulated Expenses was $1.09 million in FY2024 (+71.0%) and $638,000 in FY2023.
- Quarterly Accumulated Expenses has run from a low of $638,000 in Q4 2023 to a high of $2.55 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 100.2% over the last four quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.55 million (Q1 2026), $2.19 million (Q4 2025) and $1.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | HeartBeam | 20.85 Mn | 20.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.85 Mn |
| Mar 31, 2026 | 2.55 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | 985,000.00 |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 638,000.00 |
API Access
HeartBeam Accumulated Expenses 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=accumulated-expenses&ticker=BEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();