Lemaitre Vascular (LMAT) Change in Inventory (2009 - 2026)
Lemaitre Vascular (LMAT) posted Change in Inventory of $1.65 million for Q3 2026, down 50.8% from $3.35 million a year earlier but up 203.7% from the prior quarter.
Lemaitre Vascular (LMAT) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Inventory at Lemaitre Vascular was $4 million, down 52.6% year-over-year; for FY2025, it was $7.22 million, down 31.7% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In prior years, Lemaitre Vascular's Change in Inventory was $10.57 million in FY2024 (+8.0%), $9.79 million in FY2023 (+32.0%), $7.42 million in FY2022 (+35.2%) and $5.49 million in FY2021 (+110.2%).
- Quarterly Change in Inventory has run from a low of $418,000 in Q4 2025 to a high of $3.76 million in Q1 2023 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last eight quarters, with an average decline of 27.9%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q2 2024, with growth of 625.3%; the weakest was Q2 2023, with a decline of 77.2%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $543,000 (Q2 2026), $1.39 million (Q1 2026) and $418,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 51.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 51.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 228.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 86.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 24.60 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 154.00 Mn |
| 10 | Lemaitre Vascular | 1.79 Bn | 299.03 Mn | 48.71 Mn | 1.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.65 Mn |
| Jun 30, 2026 | 543,000.00 |
| Mar 31, 2026 | 1.39 Mn |
| Dec 31, 2025 | 418,000.00 |
| Sep 30, 2025 | 3.35 Mn |
| Jun 30, 2025 | 2.12 Mn |
| Mar 31, 2025 | 1.33 Mn |
| Dec 31, 2024 | 1.64 Mn |
| Sep 30, 2024 | 1.65 Mn |
| Jun 30, 2024 | 3.75 Mn |
| Mar 31, 2024 | 3.54 Mn |
| Dec 31, 2023 | 2.21 Mn |
| Sep 30, 2023 | 3.31 Mn |
| Jun 30, 2023 | 517,000.00 |
| Mar 31, 2023 | 3.76 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | 1.51 Mn |
| Jun 30, 2022 | 2.27 Mn |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 2.73 Mn |
Lemaitre Vascular Change in Inventory 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=change-in-inventory&ticker=LMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();