AtriCure (ATRC) Total Liabilities (2010 - 2026)
AtriCure (ATRC) recorded Total Liabilities of $160.21 million in Q2 2026, up 11.0% from $144.36 million a year earlier and up 5.2% from the prior quarter.
AtriCure (ATRC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, AtriCure reported Total Liabilities of $162.24 million, up 9.4% from FY2024.
- Annual Total Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $148.36 million in FY2024 (+0.4%), $147.76 million in FY2023 (+14.8%), $128.69 million in FY2022 (-2.2%) and $131.56 million in FY2021 (-56.5%).
- Quarterly Total Liabilities has ranged from $122.16 million in Q1 2022 to $162.24 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 14 consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 14.8% in Q4 2023, against a decline of 60.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $152.3 million (Q1 2026), $162.24 million (Q4 2025) and $158.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.14 Bn |
| 10 | AtriCure | 2.81 Bn | 2.18 Bn | 118.63 Mn | 160.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.21 Mn |
| Mar 31, 2026 | 152.30 Mn |
| Dec 31, 2025 | 162.24 Mn |
| Sep 30, 2025 | 158.94 Mn |
| Jun 30, 2025 | 144.36 Mn |
| Mar 31, 2025 | 137.01 Mn |
| Dec 31, 2024 | 148.36 Mn |
| Sep 30, 2024 | 150.05 Mn |
| Jun 30, 2024 | 135.19 Mn |
| Mar 31, 2024 | 135.32 Mn |
| Dec 31, 2023 | 147.76 Mn |
| Sep 30, 2023 | 137.44 Mn |
| Jun 30, 2023 | 131.75 Mn |
| Mar 31, 2023 | 128.26 Mn |
| Dec 31, 2022 | 128.69 Mn |
| Sep 30, 2022 | 131.60 Mn |
| Jun 30, 2022 | 130.68 Mn |
| Mar 31, 2022 | 122.16 Mn |
| Dec 31, 2021 | 131.56 Mn |
| Sep 30, 2021 | 124.50 Mn |
AtriCure 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=ATRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ATRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();