Lemaitre Vascular (LMAT) Operating Expenses (2010 - 2026)
Lemaitre Vascular's Operating Expenses was $30.37 million in Q2 2026, up 5.3% from $28.83 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Lemaitre Vascular (LMAT) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lemaitre Vascular's Operating Expenses was $113.99 million through Jun 30, 2026, up 6.1% year-over-year; for FY2025, it was $110.63 million, up 12.1% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $98.65 million in FY2024 (+9.2%), $90.34 million in FY2023 (+15.7%), $78.07 million in FY2022 (+20.2%) and $64.96 million in FY2021 (+16.3%).
- Quarterly Operating Expenses has moved between $15.79 million (Q3 2021) and $30.62 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 21 straight quarters, with growth averaging 10.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.8% in Q2 2023 to 40.7% in Q2 2022.
- Per Business Quant data, LMAT's Operating Expenses in the three quarters before Q2 2026 was $30.62 million (Q1 2026), $27.36 million (Q4 2025) and $25.64 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 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn | 30.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.37 Mn |
| Mar 31, 2026 | 30.62 Mn |
| Dec 31, 2025 | 27.36 Mn |
| Sep 30, 2025 | 25.64 Mn |
| Jun 30, 2025 | 28.83 Mn |
| Mar 31, 2025 | 28.79 Mn |
| Dec 31, 2024 | 25.74 Mn |
| Sep 30, 2024 | 24.03 Mn |
| Jun 30, 2024 | 24.09 Mn |
| Mar 31, 2024 | 24.79 Mn |
| Dec 31, 2023 | 23.06 Mn |
| Sep 30, 2023 | 21.64 Mn |
| Jun 30, 2023 | 22.63 Mn |
| Mar 31, 2023 | 23.01 Mn |
| Dec 31, 2022 | 19.09 Mn |
| Sep 30, 2022 | 18.92 Mn |
| Jun 30, 2022 | 22.03 Mn |
| Mar 31, 2022 | 18.03 Mn |
| Dec 31, 2021 | 17.66 Mn |
| Sep 30, 2021 | 15.79 Mn |
API Access
Lemaitre Vascular 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=LMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LMAT", "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=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();