Lemaitre Vascular (LMAT) Accumulated Expenses (2009 - 2026)
Lemaitre Vascular (LMAT) posted Accumulated Expenses of $26.69 million for Q3 2026, down 0.9% from $26.93 million a year earlier but up 16.6% from the prior quarter.
Lemaitre Vascular (LMAT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Lemaitre Vascular's Accumulated Expenses came in at $29.41 million, up 18.9% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In prior years, Lemaitre Vascular's Accumulated Expenses was $24.73 million in FY2024 (+4.6%), $23.65 million in FY2023 (+18.4%), $19.97 million in FY2022 (+22.3%) and $16.33 million in FY2021 (-6.8%).
- Quarterly Accumulated Expenses has run from a low of $12.92 million in Q1 2022 to a high of $29.41 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 8.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 36.4%; the weakest was Q1 2022, with a decline of 10.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $22.88 million (Q2 2026), $25.27 million (Q1 2026) and $29.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Lemaitre Vascular | 1.79 Bn | 299.03 Mn | 48.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.69 Mn |
| Jun 30, 2026 | 22.88 Mn |
| Mar 31, 2026 | 25.27 Mn |
| Dec 31, 2025 | 29.41 Mn |
| Sep 30, 2025 | 26.93 Mn |
| Jun 30, 2025 | 22.98 Mn |
| Mar 31, 2025 | 19.93 Mn |
| Dec 31, 2024 | 24.73 Mn |
| Sep 30, 2024 | 23.49 Mn |
| Jun 30, 2024 | 20.79 Mn |
| Mar 31, 2024 | 21.12 Mn |
| Dec 31, 2023 | 23.65 Mn |
| Sep 30, 2023 | 21.79 Mn |
| Jun 30, 2023 | 19.33 Mn |
| Mar 31, 2023 | 17.62 Mn |
| Dec 31, 2022 | 19.97 Mn |
| Sep 30, 2022 | 17.40 Mn |
| Jun 30, 2022 | 17.01 Mn |
| Mar 31, 2022 | 12.92 Mn |
| Dec 31, 2021 | 16.33 Mn |
Lemaitre Vascular Accumulated 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=accumulated-expenses&ticker=LMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();