Lemaitre Vascular (LMAT) Total Non-Current Liabilities (2010 - 2026)
Lemaitre Vascular (LMAT) recorded Total Non-Current Liabilities of $218.75 million in Q2 2026, up 2.2% from $213.97 million a year earlier but down 1.3% from the prior quarter.
Powered by 
Analysis
Lemaitre Vascular (LMAT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lemaitre Vascular reported Total Non-Current Liabilities of $220.71 million, up 3.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for four straight years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $213.7 million in FY2024 (+358.5%), $46.61 million in FY2023 (+16.2%), $40.11 million in FY2022 (+11.6%) and $35.95 million in FY2021 (-52.4%).
- Quarterly Total Non-Current Liabilities has ranged from $32.04 million in Q1 2022 to $221.59 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 16 consecutive quarters, with growth averaging 194.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 417.2% in Q2 2025, against a decline of 61.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $221.59 million (Q1 2026), $220.71 million (Q4 2025) and $218.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn | 218.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.75 Mn |
| Mar 31, 2026 | 221.59 Mn |
| Dec 31, 2025 | 220.71 Mn |
| Sep 30, 2025 | 218.21 Mn |
| Jun 30, 2025 | 213.97 Mn |
| Mar 31, 2025 | 207.56 Mn |
| Dec 31, 2024 | 213.70 Mn |
| Sep 30, 2024 | 45.06 Mn |
| Jun 30, 2024 | 41.37 Mn |
| Mar 31, 2024 | 43.28 Mn |
| Dec 31, 2023 | 46.61 Mn |
| Sep 30, 2023 | 43.23 Mn |
| Jun 30, 2023 | 40.38 Mn |
| Mar 31, 2023 | 38.42 Mn |
| Dec 31, 2022 | 40.11 Mn |
| Sep 30, 2022 | 38.40 Mn |
| Jun 30, 2022 | 38.89 Mn |
| Mar 31, 2022 | 32.04 Mn |
| Dec 31, 2021 | 35.95 Mn |
| Sep 30, 2021 | 36.83 Mn |
API Access
Lemaitre Vascular Total Non-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-non-current-liabilities&ticker=LMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();