Alphatec Holdings (ATEC) Research & Development (2010 - 2026)
Alphatec Holdings (ATEC) recorded Research & Development of $18.17 million in Q2 2026, down 0.6% from $18.28 million a year earlier but up 3.5% from the prior quarter.
Alphatec Holdings (ATEC) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Alphatec Holdings' Research & Development came in at $76.69 million as of Jun 30, 2026, down 2.2% year-over-year; for FY2025, it was $76.27 million, down 5.5% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 32.4% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $80.72 million in FY2024 (+15.1%), $70.12 million in FY2023 (+59.2%), $44.03 million in FY2022 (+37.5%) and $32.02 million in FY2021 (+70.8%).
- Quarterly Research & Development has ranged from $8.98 million in Q4 2021 to $23.24 million in Q4 2024 over the past five years.
- On a year-over-year basis, Research & Development rose in three of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 92.0% in Q4 2023, against a decline of 8.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.56 million (Q1 2026), $22.28 million (Q4 2025) and $18.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Alphatec Holdings | 1.59 Bn | 1.02 Bn | 154.10 Mn | 18.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.17 Mn |
| Mar 31, 2026 | 17.56 Mn |
| Dec 31, 2025 | 22.28 Mn |
| Sep 30, 2025 | 18.68 Mn |
| Jun 30, 2025 | 18.28 Mn |
| Mar 31, 2025 | 16.58 Mn |
| Dec 31, 2024 | 23.24 Mn |
| Sep 30, 2024 | 20.36 Mn |
| Jun 30, 2024 | 19.11 Mn |
| Mar 31, 2024 | 18.01 Mn |
| Dec 31, 2023 | 22.28 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 14.57 Mn |
| Mar 31, 2023 | 13.26 Mn |
| Dec 31, 2022 | 11.60 Mn |
| Sep 30, 2022 | 12.11 Mn |
| Jun 30, 2022 | 10.60 Mn |
| Mar 31, 2022 | 9.72 Mn |
| Dec 31, 2021 | 8.98 Mn |
| Sep 30, 2021 | 9.39 Mn |
Alphatec Holdings Research & Development 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=research-and-development&ticker=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();