Lemaitre Vascular (LMAT) Cash from Operations (2010 - 2026)
Lemaitre Vascular (LMAT) recorded Cash from Operations of $15.97 million in Q2 2026, down 21.3% from $20.29 million a year earlier but up 5.8% from the prior quarter.
Lemaitre Vascular (LMAT) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Lemaitre Vascular's Cash from Operations came in at $82.98 million as of Jun 30, 2026, up 41.2% year-over-year; for FY2025, it came in at $81.25 million, up 84.1% from FY2024.
- Annual Cash from Operations has increased for three straight years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $44.12 million in FY2024 (+20.1%), $36.75 million in FY2023 (+44.8%), $25.38 million in FY2022 (-27.7%) and $35.1 million in FY2021 (+0.9%).
- Quarterly Cash from Operations has ranged from $2.28 million in Q1 2023 to $28.76 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash from Operations rose in seven of the last eight quarters, with growth averaging 56.4%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 163.6% in Q4 2023, against a decline of 64.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.09 million (Q1 2026), $23.16 million (Q4 2025) and $28.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Lemaitre Vascular | 1.89 Bn | 442.77 Mn | 50.76 Mn | 15.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.97 Mn |
| Mar 31, 2026 | 15.09 Mn |
| Dec 31, 2025 | 23.16 Mn |
| Sep 30, 2025 | 28.76 Mn |
| Jun 30, 2025 | 20.29 Mn |
| Mar 31, 2025 | 9.04 Mn |
| Dec 31, 2024 | 15.18 Mn |
| Sep 30, 2024 | 14.25 Mn |
| Jun 30, 2024 | 9.63 Mn |
| Mar 31, 2024 | 5.07 Mn |
| Dec 31, 2023 | 10.75 Mn |
| Sep 30, 2023 | 11.82 Mn |
| Jun 30, 2023 | 11.90 Mn |
| Mar 31, 2023 | 2.28 Mn |
| Dec 31, 2022 | 4.08 Mn |
| Sep 30, 2022 | 7.34 Mn |
| Jun 30, 2022 | 9.25 Mn |
| Mar 31, 2022 | 4.71 Mn |
| Dec 31, 2021 | 5.06 Mn |
| Sep 30, 2021 | 14.08 Mn |
Lemaitre Vascular Cash from Operations 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=cash-from-operations&ticker=LMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=LMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();