Alphatec Holdings (ATEC) Change in Accured Expenses (2010 - 2026)
Alphatec Holdings (ATEC) reported Change in Accured Expenses of -$17.81 million for Q2 2026, compared with -$9.26 million a year earlier.
Alphatec Holdings (ATEC) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alphatec Holdings' Change in Accured Expenses came in at $4.54 million, down 66.6% year-over-year; for FY2025, it came in at $15.82 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$1.78 million in FY2024, $17 million in FY2023 (+25.9%), $13.51 million in FY2022 (+68.4%) and $8.02 million in FY2021 (-9.0%).
- The Q2 2026 figure ranks as the lowest quarterly Change in Accured Expenses since Q2 2014.
- Year over year, Change in Accured Expenses gained in 1 of the last four quarters, with growth averaging 102.9%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2025 (growth of 491.6%); the low point was Q3 2021 (a decline of 95.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.2 million (Q1 2026), -$3.49 million (Q4 2025) and $14.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Alphatec Holdings | 1.55 Bn | 974.42 Mn | 154.10 Mn | -17.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.81 Mn |
| Mar 31, 2026 | 11.20 Mn |
| Dec 31, 2025 | -3.49 Mn |
| Sep 30, 2025 | 14.64 Mn |
| Jun 30, 2025 | -9.26 Mn |
| Mar 31, 2025 | 13.94 Mn |
| Dec 31, 2024 | 6.42 Mn |
| Sep 30, 2024 | 2.47 Mn |
| Jun 30, 2024 | -8.13 Mn |
| Mar 31, 2024 | -2.55 Mn |
| Dec 31, 2023 | 9.02 Mn |
| Sep 30, 2023 | 3.62 Mn |
| Jun 30, 2023 | 5.07 Mn |
| Mar 31, 2023 | -705,000.00 |
| Dec 31, 2022 | 9.36 Mn |
| Sep 30, 2022 | 7.79 Mn |
| Jun 30, 2022 | -2.10 Mn |
| Mar 31, 2022 | -1.54 Mn |
| Dec 31, 2021 | 7.77 Mn |
| Sep 30, 2021 | 320,000.00 |
Alphatec Holdings Change in Accured Expenses 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=change-in-accured-expenses&ticker=ATEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();