Alphatec Holdings (ATEC) Cash & Equivalents (2009 - 2026)
Alphatec Holdings (ATEC) reported Cash & Equivalents of $79.94 million for Q3 2026, down 48.7% from $155.74 million a year earlier and down 32.6% from the prior quarter.
Alphatec Holdings (ATEC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Alphatec Holdings posted Cash & Equivalents of $160.81 million, up 15.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $138.84 million in FY2024 (-37.2%), $220.97 million in FY2023 (+160.9%), $84.7 million in FY2022 (-54.8%) and $187.25 million in FY2021 (+73.8%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q2 2021.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2023 (growth of 160.9%); the low point was Q4 2022 (a decline of 54.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $118.66 million (Q2 2026), $139.91 million (Q1 2026) and $160.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Alphatec Holdings | 1.09 Bn | 587.22 Mn | 158.25 Mn | 79.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.94 Mn |
| Jun 30, 2026 | 118.66 Mn |
| Mar 31, 2026 | 139.91 Mn |
| Dec 31, 2025 | 160.81 Mn |
| Sep 30, 2025 | 155.74 Mn |
| Jun 30, 2025 | 157.06 Mn |
| Mar 31, 2025 | 153.24 Mn |
| Dec 31, 2024 | 138.84 Mn |
| Sep 30, 2024 | 80.98 Mn |
| Jun 30, 2024 | 99.83 Mn |
| Mar 31, 2024 | 144.09 Mn |
| Dec 31, 2023 | 220.97 Mn |
| Sep 30, 2023 | 122.53 Mn |
| Jun 30, 2023 | 101.02 Mn |
| Mar 31, 2023 | 116.70 Mn |
| Dec 31, 2022 | 84.70 Mn |
| Sep 30, 2022 | 106.11 Mn |
| Jun 30, 2022 | 107.47 Mn |
| Mar 31, 2022 | 151.81 Mn |
| Dec 31, 2021 | 187.25 Mn |
Alphatec Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();