Nlight (LASR) Selling, General & Administrative (2017 - 2026)
Nlight (LASR) reported Selling, General & Administrative of $16.16 million for Q2 2026, up 38.4% from $11.68 million a year earlier and up 7.1% from the prior quarter.
Nlight (LASR) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nlight's Selling, General & Administrative came in at $61.73 million, up 27.0% year-over-year; for FY2025, it was $54.19 million, up 10.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $49.26 million in FY2024 (+7.3%), $45.9 million in FY2023 (-4.9%), $48.26 million in FY2022 (-8.4%) and $52.71 million in FY2021 (+34.3%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2017.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 15.2% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 38.4%); the low point was Q2 2022 (a decline of 20.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.09 million (Q1 2026), $15.69 million (Q4 2025) and $14.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 921.00 Mn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 494.40 Mn |
| 10 | Nlight | 2.10 Bn | 1.18 Bn | 25.73 Mn | 16.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.16 Mn |
| Mar 31, 2026 | 15.09 Mn |
| Dec 31, 2025 | 15.69 Mn |
| Sep 30, 2025 | 14.79 Mn |
| Jun 30, 2025 | 11.68 Mn |
| Mar 31, 2025 | 12.04 Mn |
| Dec 31, 2024 | 11.89 Mn |
| Sep 30, 2024 | 13.02 Mn |
| Jun 30, 2024 | 12.80 Mn |
| Mar 31, 2024 | 11.55 Mn |
| Dec 31, 2023 | 11.22 Mn |
| Sep 30, 2023 | 11.73 Mn |
| Jun 30, 2023 | 11.79 Mn |
| Mar 31, 2023 | 11.17 Mn |
| Dec 31, 2022 | 11.83 Mn |
| Sep 30, 2022 | 13.74 Mn |
| Jun 30, 2022 | 11.91 Mn |
| Mar 31, 2022 | 10.78 Mn |
| Dec 31, 2021 | 12.62 Mn |
| Sep 30, 2021 | 13.32 Mn |
Nlight Selling, General & Administrative 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=selling-general-and-administrative&ticker=LASR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();