Alphatec Holdings (ATEC) Asset Writedowns and Impairment (2010 - 2026)
Alphatec Holdings' Asset Writedowns and Impairment was $4.48 million in Q2 2026, up 2.4% from $4.37 million a year earlier and up 23.9% from the prior quarter.
Alphatec Holdings (ATEC) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alphatec Holdings' Asset Writedowns and Impairment was $13.69 million through Jun 30, 2026, down 17.1% year-over-year; for FY2025, it came in at $13.54 million, down 12.2% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $15.42 million in FY2024 (+13.3%), $13.61 million in FY2023 (+38.9%), $9.8 million in FY2022 (-12.1%) and $11.15 million in FY2021 (+58.2%).
- The Q2 2026 figure marks the highest quarterly Asset Writedowns and Impairment since Q2 2023.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in six of the last eight quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q4 2021 (growth of 166.6%); the worst was Q4 2025 (a decline of 50.3%).
- Per Business Quant data, ATEC's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $3.62 million (Q1 2026), $2.21 million (Q4 2025) and $3.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Alphatec Holdings | 1.55 Bn | 974.42 Mn | 154.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.48 Mn |
| Mar 31, 2026 | 3.62 Mn |
| Dec 31, 2025 | 2.21 Mn |
| Sep 30, 2025 | 3.38 Mn |
| Jun 30, 2025 | 4.37 Mn |
| Mar 31, 2025 | 3.57 Mn |
| Dec 31, 2024 | 4.45 Mn |
| Sep 30, 2024 | 4.11 Mn |
| Jun 30, 2024 | 3.88 Mn |
| Mar 31, 2024 | 2.98 Mn |
| Dec 31, 2023 | 4.42 Mn |
| Sep 30, 2023 | 2.45 Mn |
| Jun 30, 2023 | 4.64 Mn |
| Mar 31, 2023 | 2.10 Mn |
| Dec 31, 2022 | 2.78 Mn |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 2.39 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 4.31 Mn |
| Sep 30, 2021 | 2.53 Mn |
Alphatec Holdings Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();