Lemaitre Vascular (LMAT) Other Non-Current Liabilities (2010 - 2026)
Lemaitre Vascular (LMAT) recorded Other Non-Current Liabilities of $1.46 million in Q2 2026, up 56.2% from $934,000 a year earlier and up 11.3% from the prior quarter.
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Analysis
Lemaitre Vascular (LMAT) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lemaitre Vascular reported Other Non-Current Liabilities of $1.47 million, up 76.7% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -20.6% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $831,000 in FY2024 (-63.4%), $2.27 million in FY2023 (+4.7%), $2.17 million in FY2022 (-19.8%) and $2.7 million in FY2021 (-41.8%).
- Quarterly Other Non-Current Liabilities has ranged from $831,000 in Q4 2024 to $3.6 million in Q3 2021 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased for four consecutive quarters, with an average decline of 6.5% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 76.7% in Q4 2025, against a decline of 63.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.31 million (Q1 2026), $1.47 million (Q4 2025) and $933,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Mar 31, 2026 | 1.31 Mn |
| Dec 31, 2025 | 1.47 Mn |
| Sep 30, 2025 | 933,000.00 |
| Jun 30, 2025 | 934,000.00 |
| Mar 31, 2025 | 875,000.00 |
| Dec 31, 2024 | 831,000.00 |
| Sep 30, 2024 | 896,000.00 |
| Jun 30, 2024 | 2.18 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 2.27 Mn |
| Sep 30, 2023 | 2.15 Mn |
| Jun 30, 2023 | 2.26 Mn |
| Mar 31, 2023 | 2.28 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Sep 30, 2022 | 2.41 Mn |
| Jun 30, 2022 | 2.50 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 3.60 Mn |
API Access
Lemaitre Vascular Other 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=other-non-current-liabilities&ticker=LMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();