Nlight (LASR) Accumulated Expenses (2017 - 2026)
Nlight (LASR) recorded Accumulated Expenses of $17.29 million in Q2 2026, up 6.0% from $16.31 million a year earlier and up 2.1% from the prior quarter.
Nlight (LASR) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Nlight reported Accumulated Expenses of $19.05 million, up 43.6% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $13.27 million in FY2024 (+5.7%), $12.56 million in FY2023 (-2.1%), $12.82 million in FY2022 (-13.0%) and $14.73 million in FY2021 (-3.9%).
- Quarterly Accumulated Expenses has ranged from $12.56 million in Q4 2023 to $19.05 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 43.6% in Q4 2025, against a decline of 15.6% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.93 million (Q1 2026), $19.05 million (Q4 2025) and $18.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Nlight | 2.08 Bn | 1.17 Bn | 25.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.29 Mn |
| Mar 31, 2026 | 16.93 Mn |
| Dec 31, 2025 | 19.05 Mn |
| Sep 30, 2025 | 18.99 Mn |
| Jun 30, 2025 | 16.31 Mn |
| Mar 31, 2025 | 14.86 Mn |
| Dec 31, 2024 | 13.27 Mn |
| Sep 30, 2024 | 14.14 Mn |
| Jun 30, 2024 | 12.89 Mn |
| Mar 31, 2024 | 13.27 Mn |
| Dec 31, 2023 | 12.56 Mn |
| Sep 30, 2023 | 14.18 Mn |
| Jun 30, 2023 | 14.08 Mn |
| Mar 31, 2023 | 14.71 Mn |
| Dec 31, 2022 | 12.82 Mn |
| Sep 30, 2022 | 14.55 Mn |
| Jun 30, 2022 | 13.14 Mn |
| Mar 31, 2022 | 13.38 Mn |
| Dec 31, 2021 | 14.73 Mn |
| Sep 30, 2021 | 15.74 Mn |
Nlight Accumulated 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=accumulated-expenses&ticker=LASR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();