Alphatec Holdings (ATEC) Total Liabilities (2010 - 2026)
Alphatec Holdings (ATEC) recorded Total Liabilities of $803.1 million in Q2 2026, up 4.8% from $766.52 million a year earlier but down 0.2% from the prior quarter.
Alphatec Holdings (ATEC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Alphatec Holdings reported Total Liabilities of $778.78 million, down 1.4% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $789.88 million in FY2024 (+8.6%), $727.09 million in FY2023 (+30.9%), $555.64 million in FY2022 (+13.1%) and $491.38 million in FY2021 (+274.1%).
- Quarterly Total Liabilities has ranged from $486.35 million in Q3 2021 to $871.41 million in Q1 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 4.1%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 274.1% in Q4 2021, against a decline of 7.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $804.83 million (Q1 2026), $778.78 million (Q4 2025) and $775.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Alphatec Holdings | 1.59 Bn | 1.02 Bn | 154.10 Mn | 803.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 803.10 Mn |
| Mar 31, 2026 | 804.83 Mn |
| Dec 31, 2025 | 778.78 Mn |
| Sep 30, 2025 | 775.74 Mn |
| Jun 30, 2025 | 766.52 Mn |
| Mar 31, 2025 | 871.41 Mn |
| Dec 31, 2024 | 789.88 Mn |
| Sep 30, 2024 | 747.26 Mn |
| Jun 30, 2024 | 751.48 Mn |
| Mar 31, 2024 | 737.03 Mn |
| Dec 31, 2023 | 727.09 Mn |
| Sep 30, 2023 | 714.38 Mn |
| Jun 30, 2023 | 656.39 Mn |
| Mar 31, 2023 | 628.06 Mn |
| Dec 31, 2022 | 555.64 Mn |
| Sep 30, 2022 | 537.18 Mn |
| Jun 30, 2022 | 499.82 Mn |
| Mar 31, 2022 | 505.25 Mn |
| Dec 31, 2021 | 491.38 Mn |
| Sep 30, 2021 | 486.35 Mn |
Alphatec Holdings Total Liabilities 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=total-liabilities&ticker=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();