Nlight (LASR) Operating Expenses (2017 - 2026)
Nlight (LASR) reported Operating Expenses of $29.29 million for Q2 2026, up 29.1% from $22.69 million a year earlier and up 7.6% from the prior quarter.
Powered by 
Analysis
Nlight (LASR) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nlight's Operating Expenses came in at $114.94 million, up 17.3% year-over-year; for FY2025, it came in at $104.51 million, up 5.9% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $98.66 million in FY2024 (+6.2%), $92.88 million in FY2023 (-12.3%), $105.92 million in FY2022 (-1.5%) and $107.52 million in FY2021 (+33.7%).
- Five-year quarterly Operating Expenses spans a low of $22.21 million in Q1 2024 and a high of $30.36 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 11.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 33.2%); the low point was Q4 2023 (a decline of 17.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.23 million (Q1 2026), $30.36 million (Q4 2025) and $28.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Nlight | 2.11 Bn | 1.20 Bn | 25.73 Mn | 29.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.29 Mn |
| Mar 31, 2026 | 27.23 Mn |
| Dec 31, 2025 | 30.36 Mn |
| Sep 30, 2025 | 28.05 Mn |
| Jun 30, 2025 | 22.69 Mn |
| Mar 31, 2025 | 23.41 Mn |
| Dec 31, 2024 | 27.56 Mn |
| Sep 30, 2024 | 24.35 Mn |
| Jun 30, 2024 | 24.54 Mn |
| Mar 31, 2024 | 22.21 Mn |
| Dec 31, 2023 | 24.15 Mn |
| Sep 30, 2023 | 22.47 Mn |
| Jun 30, 2023 | 23.79 Mn |
| Mar 31, 2023 | 22.47 Mn |
| Dec 31, 2022 | 29.28 Mn |
| Sep 30, 2022 | 26.46 Mn |
| Jun 30, 2022 | 25.70 Mn |
| Mar 31, 2022 | 24.49 Mn |
| Dec 31, 2021 | 26.61 Mn |
| Sep 30, 2021 | 28.15 Mn |
API Access
Nlight 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=LASR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LASR", "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=LASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();