Lemaitre Vascular (LMAT) Total Current Liabilities (2010 - 2026)
Lemaitre Vascular (LMAT) posted Total Current Liabilities of $29.94 million for Q2 2026, down 2.9% from $30.82 million a year earlier and down 10.3% from the prior quarter.
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Analysis
Lemaitre Vascular (LMAT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lemaitre Vascular's Total Current Liabilities came in at $36.32 million, up 18.7% from FY2024.
- Annual Total Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Lemaitre Vascular's Total Current Liabilities was $30.61 million in FY2024 (+2.4%), $29.88 million in FY2023 (+18.0%), $25.33 million in FY2022 (+16.1%) and $21.81 million in FY2021 (-13.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 10.1%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2026, with growth of 34.9%; the weakest was Q3 2021, with a decline of 50.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $33.37 million (Q1 2026), $36.32 million (Q4 2025) and $33.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn | 29.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.94 Mn |
| Mar 31, 2026 | 33.37 Mn |
| Dec 31, 2025 | 36.32 Mn |
| Sep 30, 2025 | 33.29 Mn |
| Jun 30, 2025 | 30.82 Mn |
| Mar 31, 2025 | 24.75 Mn |
| Dec 31, 2024 | 30.61 Mn |
| Sep 30, 2024 | 29.34 Mn |
| Jun 30, 2024 | 25.45 Mn |
| Mar 31, 2024 | 26.81 Mn |
| Dec 31, 2023 | 29.88 Mn |
| Sep 30, 2023 | 29.03 Mn |
| Jun 30, 2023 | 25.86 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 25.33 Mn |
| Sep 30, 2022 | 23.44 Mn |
| Jun 30, 2022 | 23.41 Mn |
| Mar 31, 2022 | 18.27 Mn |
| Dec 31, 2021 | 21.81 Mn |
| Sep 30, 2021 | 22.11 Mn |
API Access
Lemaitre Vascular Total Current Liabilities 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=total-current-liabilities&ticker=LMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();