Alphatec Holdings (ATEC) Price to Book (2010 - 2025)
Alphatec Holdings' Price to Book was 254.42 in Q4 2025, up 34.8% from the prior quarter.
Analysis
Alphatec Holdings (ATEC) Price to Book (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Alphatec Holdings has reported Price to Book for 41 quarters.
- In earlier years, Price to Book was 26.93 in FY2023 and 14.10 in FY2021 (+88.2%).
- The Q4 2025 figure marks the highest quarterly Price to Book in data going back to Q4 2010.
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 | Alphatec Holdings | 1.59 Bn | 1.02 Bn | 154.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 254.42 |
| Sep 30, 2025 | 188.73 |
| Jun 30, 2025 | 69.50 |
| Jun 30, 2024 | 87.34 |
| Mar 31, 2024 | 52.30 |
| Dec 31, 2023 | 26.93 |
| Jun 30, 2022 | 56.42 |
| Mar 31, 2022 | 26.79 |
| Dec 31, 2021 | 14.10 |
| Sep 30, 2021 | 10.81 |
| Jun 30, 2021 | 7.18 |
| Mar 31, 2021 | 12.33 |
| Dec 31, 2020 | 7.49 |
| Sep 30, 2020 | 53.25 |
| Jun 30, 2020 | 15.94 |
| Mar 31, 2020 | 7.96 |
| Dec 31, 2019 | 9.99 |
| Sep 30, 2019 | 5.28 |
| Jun 30, 2019 | 15.19 |
| Mar 31, 2019 | 13.34 |
API Access
Alphatec Holdings 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=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ATEC", "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=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();