Lemaitre Vascular (LMAT) Other Operating Expenses (2010 - 2026)
Lemaitre Vascular (LMAT) posted Other Operating Expenses of $14.41 million for Q2 2026, down 3.3% from $14.9 million a year earlier and down 0.7% from the prior quarter.
Lemaitre Vascular (LMAT) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Lemaitre Vascular was $54.28 million, up 2.1% year-over-year; for FY2025, it came in at $54.46 million, up 16.5% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In prior years, Lemaitre Vascular's Other Operating Expenses was $46.74 million in FY2024 (+13.9%), $41.04 million in FY2023 (+24.6%), $32.93 million in FY2022 (+19.1%) and $27.66 million in FY2021 (+19.0%).
- Quarterly Other Operating Expenses has run from a low of $6.94 million in Q3 2021 to a high of $14.9 million in Q2 2025 over five years.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 13.5%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2021, with growth of 48.1%; the weakest was Q2 2026, with a decline of 3.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $14.52 million (Q1 2026), $13.43 million (Q4 2025) and $11.92 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.41 Mn |
| Mar 31, 2026 | 14.52 Mn |
| Dec 31, 2025 | 13.43 Mn |
| Sep 30, 2025 | 11.92 Mn |
| Jun 30, 2025 | 14.90 Mn |
| Mar 31, 2025 | 14.21 Mn |
| Dec 31, 2024 | 12.63 Mn |
| Sep 30, 2024 | 11.44 Mn |
| Jun 30, 2024 | 10.98 Mn |
| Mar 31, 2024 | 11.69 Mn |
| Dec 31, 2023 | 10.25 Mn |
| Sep 30, 2023 | 9.67 Mn |
| Jun 30, 2023 | 10.22 Mn |
| Mar 31, 2023 | 10.90 Mn |
| Dec 31, 2022 | 8.61 Mn |
| Sep 30, 2022 | 8.23 Mn |
| Jun 30, 2022 | 8.24 Mn |
| Mar 31, 2022 | 7.85 Mn |
| Dec 31, 2021 | 7.45 Mn |
| Sep 30, 2021 | 6.94 Mn |
Lemaitre Vascular Other Operating Expenses 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-operating-expenses&ticker=LMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();