Lensar (LNSR) Amortizatization of Intangibles (2019 - 2026)
Lensar's Amortizatization of Intangibles came in at $228,000 for Q2 2026, down 0.9% from $230,000 a year earlier and down 0.4% from the prior quarter.
Lensar (LNSR) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lensar reported Amortizatization of Intangibles of $916,000, down 1.1% year-over-year; for FY2025, it came in at $921,000, down 5.1% from FY2024.
- Amortizatization of Intangibles has declined in each of the last five years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $970,000 in FY2024 (-11.6%), $1.1 million in FY2023 (-4.4%), $1.15 million in FY2022 (-7.4%) and $1.24 million in FY2021 (-1.3%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles in data going back to Q3 2019.
- Year-over-year, Amortizatization of Intangibles has declined for 24 consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Amortizatization of Intangibles ranged from 0.7% (Q1 2024) to 15.6% (Q2 2024).
- Business Quant data shows LNSR's Amortizatization of Intangibles at $229,000 (Q1 2026), $230,000 (Q4 2025) and $229,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Lensar | 82.90 Mn | 34.78 Mn | 9.78 Mn | 228,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 228,000.00 |
| Mar 31, 2026 | 229,000.00 |
| Dec 31, 2025 | 230,000.00 |
| Sep 30, 2025 | 229,000.00 |
| Jun 30, 2025 | 230,000.00 |
| Mar 31, 2025 | 232,000.00 |
| Dec 31, 2024 | 232,000.00 |
| Sep 30, 2024 | 232,000.00 |
| Jun 30, 2024 | 232,000.00 |
| Mar 31, 2024 | 274,000.00 |
| Dec 31, 2023 | 273,000.00 |
| Sep 30, 2023 | 273,000.00 |
| Jun 30, 2023 | 275,000.00 |
| Mar 31, 2023 | 276,000.00 |
| Dec 31, 2022 | 276,000.00 |
| Sep 30, 2022 | 276,000.00 |
| Jun 30, 2022 | 287,000.00 |
| Mar 31, 2022 | 309,000.00 |
| Dec 31, 2021 | 309,000.00 |
| Sep 30, 2021 | 309,000.00 |
Lensar Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=LNSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "LNSR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=LNSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();