Alphatec Holdings (ATEC) Non Operating Interest Expenses (2010 - 2026)
Alphatec Holdings (ATEC) reported Non Operating Interest Expenses of $10.96 million for Q2 2026, down 10.9% from $12.31 million a year earlier and down 6.5% from the prior quarter.
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Analysis
Alphatec Holdings (ATEC) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alphatec Holdings' Non Operating Interest Expenses came in at $48.46 million, up 43.1% year-over-year; for FY2025, it came in at $45.92 million, up 84.6% from FY2024.
- Non Operating Interest Expenses has increased for three consecutive years.
- By year, Non Operating Interest Expenses came in at $24.88 million in FY2024 (+49.5%), $16.64 million in FY2023 (+202.3%), $5.51 million in FY2022 and -$16.11 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q1 2025.
- Year over year, Non Operating Interest Expenses gained in seven of the last eight quarters, with growth averaging 60.3%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 171.2%); the low point was Q4 2023 (a decline of 57.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.72 million (Q1 2026), $12.89 million (Q4 2025) and $12.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Alphatec Holdings | 1.59 Bn | 1.02 Bn | 154.10 Mn | 10.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.96 Mn |
| Mar 31, 2026 | 11.72 Mn |
| Dec 31, 2025 | 12.89 Mn |
| Sep 30, 2025 | 12.88 Mn |
| Jun 30, 2025 | 12.31 Mn |
| Mar 31, 2025 | 7.84 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 6.57 Mn |
| Jun 30, 2024 | 5.82 Mn |
| Mar 31, 2024 | 5.34 Mn |
| Dec 31, 2023 | 4.42 Mn |
| Sep 30, 2023 | 4.46 Mn |
| Jun 30, 2023 | 3.89 Mn |
| Mar 31, 2023 | 3.87 Mn |
| Dec 31, 2022 | 10.26 Mn |
| Sep 30, 2022 | -1.90 Mn |
| Jun 30, 2022 | 1.44 Mn |
| Mar 31, 2022 | -1.49 Mn |
| Dec 31, 2021 | -2.05 Mn |
| Sep 30, 2021 | -7.82 Mn |
API Access
Alphatec Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=ATEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();