Lemaitre Vascular (LMAT) Cash & Equivalents (2010 - 2026)
Lemaitre Vascular's Cash & Equivalents came in at $26.63 million for Q2 2026, down 2.0% from $27.18 million a year earlier and down 0.8% from the prior quarter.
Lemaitre Vascular (LMAT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Lemaitre Vascular's Cash & Equivalents was $28.24 million, up 10.3% from FY2024.
- Cash & Equivalents has increased in each of the last four years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $25.61 million in FY2024 (+5.5%), $24.27 million in FY2023 (+26.8%), $19.13 million in FY2022 (+38.1%) and $13.86 million in FY2021 (-48.2%).
- The five-year range for quarterly Cash & Equivalents is $13.86 million (Q4 2021) to $28.24 million (Q4 2025).
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 9.4%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2024 (growth of 59.5%), and the weakest in Q4 2021 (a decline of 48.2%).
- Business Quant data shows LMAT's Cash & Equivalents at $26.85 million (Q1 2026), $28.24 million (Q4 2025) and $25.49 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Lemaitre Vascular | 1.81 Bn | 359.77 Mn | 50.76 Mn | 26.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.63 Mn |
| Mar 31, 2026 | 26.85 Mn |
| Dec 31, 2025 | 28.24 Mn |
| Sep 30, 2025 | 25.49 Mn |
| Jun 30, 2025 | 27.18 Mn |
| Mar 31, 2025 | 25.34 Mn |
| Dec 31, 2024 | 25.61 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 22.27 Mn |
| Mar 31, 2024 | 26.60 Mn |
| Dec 31, 2023 | 24.27 Mn |
| Sep 30, 2023 | 18.05 Mn |
| Jun 30, 2023 | 19.49 Mn |
| Mar 31, 2023 | 16.68 Mn |
| Dec 31, 2022 | 19.13 Mn |
| Sep 30, 2022 | 16.91 Mn |
| Jun 30, 2022 | 20.79 Mn |
| Mar 31, 2022 | 15.56 Mn |
| Dec 31, 2021 | 13.86 Mn |
| Sep 30, 2021 | 17.37 Mn |
Lemaitre Vascular Cash & Equivalents 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=cash-and-equivalents&ticker=LMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();