Lemaitre Vascular (LMAT) Non-Current Assets (2010 - 2026)
Lemaitre Vascular (LMAT) recorded Non-Current Assets of $152.25 million in Q2 2026, up 3.2% from $147.47 million a year earlier and up 0.4% from the prior quarter.
Powered by 
Analysis
Lemaitre Vascular (LMAT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Lemaitre Vascular reported Non-Current Assets of $147.46 million, down 1.4% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $149.63 million in FY2024 (-1.7%), $152.18 million in FY2023 (+2.3%), $148.74 million in FY2022 (-2.7%) and $152.92 million in FY2021 (-3.5%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q4 2021.
- On a year-over-year basis, Non-Current Assets rose in two of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 3.2% in Q2 2026, against a decline of 4.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $151.71 million (Q1 2026), $147.46 million (Q4 2025) and $146.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn | 152.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.25 Mn |
| Mar 31, 2026 | 151.71 Mn |
| Dec 31, 2025 | 147.46 Mn |
| Sep 30, 2025 | 146.04 Mn |
| Jun 30, 2025 | 147.47 Mn |
| Mar 31, 2025 | 147.89 Mn |
| Dec 31, 2024 | 149.63 Mn |
| Sep 30, 2024 | 149.91 Mn |
| Jun 30, 2024 | 150.27 Mn |
| Mar 31, 2024 | 151.00 Mn |
| Dec 31, 2023 | 152.18 Mn |
| Sep 30, 2023 | 151.83 Mn |
| Jun 30, 2023 | 151.98 Mn |
| Mar 31, 2023 | 150.10 Mn |
| Dec 31, 2022 | 148.74 Mn |
| Sep 30, 2022 | 148.91 Mn |
| Jun 30, 2022 | 150.94 Mn |
| Mar 31, 2022 | 151.04 Mn |
| Dec 31, 2021 | 152.92 Mn |
| Sep 30, 2021 | 155.46 Mn |
API Access
Lemaitre Vascular Non-Current Assets 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=non-current-assets&ticker=LMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();