HeartBeam (BEAT) Accumulated Expenses (2023 - 2026)
HeartBeam (BEAT) posted Accumulated Expenses of $1.09 million for Q3 2026, down 24.7% from $1.45 million a year earlier and down 41.1% 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.
- The Q3 2026 figure stands as the lowest quarterly Accumulated Expenses since Q2 2025.
- On a year-over-year basis, Accumulated Expenses increased in four of the last five quarters, with growth averaging 82.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.85 million (Q2 2026), $2.95 million (Q1 2026) and $2.19 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | HeartBeam | 25.33 Mn | 4.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.09 Mn |
| Jun 30, 2026 | 1.85 Mn |
| Mar 31, 2026 | 2.95 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();