Nlight (LASR) Amortizatization of Intangibles (2018 - 2026)
Nlight (LASR) posted Amortizatization of Intangibles of $171,000 for Q2 2026, down 53.4% from $367,000 a year earlier and down 19.0% from the prior quarter.
Nlight (LASR) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Nlight was $1.44 million, down 55.3% year-over-year; for FY2025, it was $1.93 million, down 58.2% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- In prior years, Nlight's Amortizatization of Intangibles was $4.61 million in FY2024 (+27.0%), $3.63 million in FY2023 (-21.3%), $4.61 million in FY2022 (-21.5%) and $5.88 million in FY2021 (-1.6%).
- The Q2 2026 figure stands as the lowest quarterly Amortizatization of Intangibles in data going back to Q1 2018.
- On a year-over-year basis, Amortizatization of Intangibles has declined in each of the last six quarters, with an average decline of 36.3% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2024, with growth of 44.3%; the weakest was Q3 2025, with a decline of 67.1%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $211,000 (Q1 2026), $680,000 (Q4 2025) and $382,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | - |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | - |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 148.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | - |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | - |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 16.00 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 76.40 Mn |
| 10 | Nlight | 2.06 Bn | 1.15 Bn | 25.73 Mn | 171,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171,000.00 |
| Mar 31, 2026 | 211,000.00 |
| Dec 31, 2025 | 680,000.00 |
| Sep 30, 2025 | 382,000.00 |
| Jun 30, 2025 | 367,000.00 |
| Mar 31, 2025 | 498,000.00 |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 1.16 Mn |
| Jun 30, 2024 | 983,000.00 |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 932,000.00 |
| Sep 30, 2023 | 929,000.00 |
| Jun 30, 2023 | 896,000.00 |
| Mar 31, 2023 | 872,000.00 |
| Dec 31, 2022 | 1.12 Mn |
| Sep 30, 2022 | 1.16 Mn |
| Jun 30, 2022 | 1.15 Mn |
| Mar 31, 2022 | 1.18 Mn |
| Dec 31, 2021 | 1.24 Mn |
| Sep 30, 2021 | 1.52 Mn |
Nlight 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=LASR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=LASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();