Lemaitre Vascular (LMAT) EBITDA (2010 - 2026)
Lemaitre Vascular (LMAT) reported EBITDA of $23.06 million for Q2 2026, up 22.7% from $18.79 million a year earlier and up 13.1% from the prior quarter.
Lemaitre Vascular (LMAT) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lemaitre Vascular's EBITDA came in at $87.82 million, up 35.5% year-over-year; for FY2025, it came in at $78.33 million, up 26.6% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- By year, EBITDA came in at $61.86 million in FY2024 (+33.8%), $46.23 million in FY2023 (+27.5%), $36.26 million in FY2022 (-23.7%) and $47.5 million in FY2021 (+27.7%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q3 2010.
- Year over year, EBITDA has now increased in each of the last 13 quarters, with growth averaging 27.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2025 (growth of 47.2%); the low point was Q2 2022 (a decline of 40.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.4 million (Q1 2026), $21.44 million (Q4 2025) and $22.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn | 23.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.06 Mn |
| Mar 31, 2026 | 20.40 Mn |
| Dec 31, 2025 | 21.44 Mn |
| Sep 30, 2025 | 22.93 Mn |
| Jun 30, 2025 | 18.79 Mn |
| Mar 31, 2025 | 15.18 Mn |
| Dec 31, 2024 | 15.27 Mn |
| Sep 30, 2024 | 15.57 Mn |
| Jun 30, 2024 | 16.76 Mn |
| Mar 31, 2024 | 14.26 Mn |
| Dec 31, 2023 | 12.65 Mn |
| Sep 30, 2023 | 11.58 Mn |
| Jun 30, 2023 | 11.78 Mn |
| Mar 31, 2023 | 10.23 Mn |
| Dec 31, 2022 | 9.26 Mn |
| Sep 30, 2022 | 8.48 Mn |
| Jun 30, 2022 | 8.23 Mn |
| Mar 31, 2022 | 10.30 Mn |
| Dec 31, 2021 | 11.19 Mn |
| Sep 30, 2021 | 12.00 Mn |
Lemaitre Vascular EBITDA 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=ebitda&ticker=LMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();