Lensar (LNSR) Operating Expenses (2019 - 2026)
Lensar (LNSR) recorded Operating Expenses of $7.64 million in Q2 2026, down 42.6% from $13.31 million a year earlier but up 84.5% from the prior quarter.
Powered by 
Analysis
Lensar (LNSR) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Lensar's Operating Expenses came in at $37.26 million as of Jun 30, 2026, down 11.6% year-over-year; for FY2025, it came in at $51.7 million, up 41.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $36.52 million in FY2024 (+9.5%), $33.34 million in FY2023 (-14.5%), $38.98 million in FY2022 (+7.6%) and $36.25 million in FY2021 (+15.7%).
- Quarterly Operating Expenses has ranged from $4.14 million in Q1 2026 to $13.62 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 11.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 81.3% in Q3 2025, against a decline of 67.9% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.14 million (Q1 2026), $11.86 million (Q4 2025) and $13.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Lensar | 80.94 Mn | 32.82 Mn | 9.78 Mn | 7.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.64 Mn |
| Mar 31, 2026 | 4.14 Mn |
| Dec 31, 2025 | 11.86 Mn |
| Sep 30, 2025 | 13.62 Mn |
| Jun 30, 2025 | 13.31 Mn |
| Mar 31, 2025 | 12.92 Mn |
| Dec 31, 2024 | 8.40 Mn |
| Sep 30, 2024 | 7.51 Mn |
| Jun 30, 2024 | 12.09 Mn |
| Mar 31, 2024 | 8.51 Mn |
| Dec 31, 2023 | 7.84 Mn |
| Sep 30, 2023 | 6.64 Mn |
| Jun 30, 2023 | 9.35 Mn |
| Mar 31, 2023 | 8.41 Mn |
| Dec 31, 2022 | 8.82 Mn |
| Sep 30, 2022 | 7.70 Mn |
| Jun 30, 2022 | 11.40 Mn |
| Mar 31, 2022 | 11.07 Mn |
| Dec 31, 2021 | 9.23 Mn |
| Sep 30, 2021 | 9.71 Mn |
API Access
Lensar 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=operating-expenses&ticker=LNSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LNSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();