AtriCure (ATRC) Total Non-Current Liabilities (2010 - 2026)
AtriCure (ATRC) posted Total Non-Current Liabilities of $152.96 million for Q2 2026, up 6.8% from $143.19 million a year earlier and up 5.5% from the prior quarter.
AtriCure (ATRC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, AtriCure's Total Non-Current Liabilities came in at $154.9 million, up 5.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, AtriCure's Total Non-Current Liabilities was $147.15 million in FY2024 (+0.4%), $146.53 million in FY2023 (+15.0%), $127.47 million in FY2022 (-2.2%) and $130.34 million in FY2021 (+13.6%).
- Quarterly Total Non-Current Liabilities has run from a low of $120.93 million in Q1 2022 to a high of $154.9 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 14 quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 15.0%; the weakest was Q4 2022, with a decline of 2.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $144.98 million (Q1 2026), $154.9 million (Q4 2025) and $151.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | AtriCure | 2.81 Bn | 2.18 Bn | 118.63 Mn | 152.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.96 Mn |
| Mar 31, 2026 | 144.98 Mn |
| Dec 31, 2025 | 154.90 Mn |
| Sep 30, 2025 | 151.57 Mn |
| Jun 30, 2025 | 143.19 Mn |
| Mar 31, 2025 | 135.79 Mn |
| Dec 31, 2024 | 147.15 Mn |
| Sep 30, 2024 | 148.84 Mn |
| Jun 30, 2024 | 134.00 Mn |
| Mar 31, 2024 | 134.07 Mn |
| Dec 31, 2023 | 146.53 Mn |
| Sep 30, 2023 | 136.21 Mn |
| Jun 30, 2023 | 130.53 Mn |
| Mar 31, 2023 | 127.02 Mn |
| Dec 31, 2022 | 127.47 Mn |
| Sep 30, 2022 | 130.38 Mn |
| Jun 30, 2022 | 129.46 Mn |
| Mar 31, 2022 | 120.93 Mn |
| Dec 31, 2021 | 130.34 Mn |
| Sep 30, 2021 | 122.22 Mn |
AtriCure Total Non-Current 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-non-current-liabilities&ticker=ATRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ATRC", "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-non-current-liabilities&ticker=ATRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();