AtriCure (ATRC) Operating Expenses (2010 - 2026)
AtriCure's Operating Expenses was $108.96 million in Q2 2026, up 1.2% from $107.67 million a year earlier and up 0.2% from the prior quarter.
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Analysis
AtriCure (ATRC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, AtriCure's Operating Expenses was $421.72 million through Jun 30, 2026, up 3.5% year-over-year; for FY2025, it came in at $410.23 million, up 5.9% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $387.54 million in FY2024 (+18.5%), $327.05 million in FY2023 (+13.3%), $288.61 million in FY2022 (+91.6%) and $150.66 million in FY2021 (-22.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 9.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 27.8%); the worst was Q4 2025 (a decline of 4.0%).
- Per Business Quant data, ATRC's Operating Expenses in the three quarters before Q2 2026 was $108.79 million (Q1 2026), $102.85 million (Q4 2025) and $101.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | AtriCure | 2.86 Bn | 2.23 Bn | 118.63 Mn | 108.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.96 Mn |
| Mar 31, 2026 | 108.79 Mn |
| Dec 31, 2025 | 102.85 Mn |
| Sep 30, 2025 | 101.12 Mn |
| Jun 30, 2025 | 107.67 Mn |
| Mar 31, 2025 | 98.58 Mn |
| Dec 31, 2024 | 107.14 Mn |
| Sep 30, 2024 | 94.20 Mn |
| Jun 30, 2024 | 94.01 Mn |
| Mar 31, 2024 | 92.19 Mn |
| Dec 31, 2023 | 88.48 Mn |
| Sep 30, 2023 | 81.96 Mn |
| Jun 30, 2023 | 81.22 Mn |
| Mar 31, 2023 | 75.39 Mn |
| Dec 31, 2022 | 69.25 Mn |
| Sep 30, 2022 | 72.44 Mn |
| Jun 30, 2022 | 77.18 Mn |
| Mar 31, 2022 | 69.75 Mn |
| Dec 31, 2021 | 67.52 Mn |
| Sep 30, 2021 | -46.44 Mn |
API Access
AtriCure Operating 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=operating-expenses&ticker=ATRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ATRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();