HeartBeam (BEAT) Price to Book (2023 - 2026)
HeartBeam's Price to Book came in at 0.19 for Q2 2026, down 92.6% from 2.60 a year earlier and down 97.5% from the prior quarter.
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Analysis
HeartBeam (BEAT) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, HeartBeam's Price to Book was 4.93, down 53.4% from FY2024.
- Going back by year, Price to Book was 10.57 in FY2024 and 0.51 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Price to Book in data going back to Q4 2023.
- Year-over-year, Price to Book increased in four of the last six quarters, with growth averaging 193.2%.
- Business Quant data shows BEAT's Price to Book at 7.78 (Q1 2026), 4.93 (Q4 2025) and 26.39 (Q3 2025) in the three quarters before Q2 2026.
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 | 0.19 |
| Mar 31, 2026 | 7.78 |
| Dec 31, 2025 | 4.93 |
| Sep 30, 2025 | 26.39 |
| Jun 30, 2025 | 2.60 |
| Mar 31, 2025 | 2.29 |
| Dec 31, 2024 | 10.57 |
| Sep 30, 2024 | 3.32 |
| Jun 30, 2024 | 1.92 |
| Mar 31, 2024 | 0.52 |
| Dec 31, 2023 | 0.51 |
API Access
HeartBeam Price to Book 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=price-to-book&ticker=BEAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=BEAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();