Alphatec Holdings (ATEC) Receivables (2010 - 2026)
Alphatec Holdings' Receivables came in at $110.8 million for Q3 2026, up 14.4% from $96.84 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Alphatec Holdings (ATEC) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Alphatec Holdings' Receivables was $97.3 million, up 17.3% from FY2024.
- Receivables has increased in each of the last eight years, with a five-year compound annual growth rate of 31.7% (FY2020 to FY2025).
- Going back by year, Receivables was $82.99 million in FY2024 (+14.3%), $72.61 million in FY2023 (+20.9%), $60.06 million in FY2022 (+43.4%) and $41.89 million in FY2021 (+70.3%).
- The Q3 2026 figure represents the highest quarterly Receivables in data going back to Q4 2010.
- Year-over-year, Receivables has increased for 32 consecutive quarters, with growth averaging 14.8% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 0.9% (Q1 2025) and 70.3% (Q4 2021) over the last five years.
- Business Quant data shows ATEC's Receivables at $110.13 million (Q2 2026), $106.38 million (Q1 2026) and $97.3 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Alphatec Holdings | 1.14 Bn | 643.23 Mn | 158.25 Mn | 110.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 110.80 Mn |
| Jun 30, 2026 | 110.13 Mn |
| Mar 31, 2026 | 106.38 Mn |
| Dec 31, 2025 | 97.30 Mn |
| Sep 30, 2025 | 96.84 Mn |
| Jun 30, 2025 | 95.92 Mn |
| Mar 31, 2025 | 89.48 Mn |
| Dec 31, 2024 | 82.99 Mn |
| Sep 30, 2024 | 78.45 Mn |
| Jun 30, 2024 | 83.99 Mn |
| Mar 31, 2024 | 88.65 Mn |
| Dec 31, 2023 | 72.61 Mn |
| Sep 30, 2023 | 64.52 Mn |
| Jun 30, 2023 | 63.23 Mn |
| Mar 31, 2023 | 62.42 Mn |
| Dec 31, 2022 | 60.06 Mn |
| Sep 30, 2022 | 50.72 Mn |
| Jun 30, 2022 | 43.93 Mn |
| Mar 31, 2022 | 40.44 Mn |
| Dec 31, 2021 | 41.89 Mn |
API Access
Alphatec Holdings Receivables 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=receivables&ticker=ATEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ATEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();