Lemaitre Vascular (LMAT) Total Non-Current Liabilities (2009 - 2026)
Lemaitre Vascular (LMAT) recorded Total Non-Current Liabilities of $222.45 million in Q3 2026, up 1.9% from $218.21 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Lemaitre Vascular (LMAT) Total Non-Current Liabilities (2009 - 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%).
- The Q3 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 17 consecutive quarters, with growth averaging 194.2% 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 52.4% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $218.75 million (Q2 2026), $221.59 million (Q1 2026) and $220.71 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Lemaitre Vascular | 1.79 Bn | 299.03 Mn | 48.71 Mn | 222.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 222.45 Mn |
| 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 |
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();