Nlight (LASR) Total Liabilities (2017 - 2026)
Nlight (LASR) posted Total Liabilities of $77.69 million for Q2 2026, down 2.0% from $79.25 million a year earlier and down 10.2% from the prior quarter.
Nlight (LASR) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Nlight's Total Liabilities came in at $88.46 million, up 64.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Nlight's Total Liabilities was $53.81 million in FY2024 (+2.7%), $52.38 million in FY2023 (-10.3%), $58.39 million in FY2022 (-18.3%) and $71.49 million in FY2021 (+12.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 25.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 64.4%; the weakest was Q3 2022, with a decline of 19.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $86.46 million (Q1 2026), $88.46 million (Q4 2025) and $80.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.98 Bn | 311.67 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 196.19 Bn | 190.77 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 171.15 Bn | 139.24 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 153.07 Bn | 150.25 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.68 Bn | 118.80 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.02 Bn | 83.76 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 90.24 Bn | 71.68 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 81.89 Bn | 72.51 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.32 Bn | 75.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Nlight | 2.12 Bn | 1.20 Bn | 25.73 Mn | 77.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.69 Mn |
| Mar 31, 2026 | 86.46 Mn |
| Dec 31, 2025 | 88.46 Mn |
| Sep 30, 2025 | 80.20 Mn |
| Jun 30, 2025 | 79.25 Mn |
| Mar 31, 2025 | 77.24 Mn |
| Dec 31, 2024 | 53.81 Mn |
| Sep 30, 2024 | 56.02 Mn |
| Jun 30, 2024 | 54.77 Mn |
| Mar 31, 2024 | 58.47 Mn |
| Dec 31, 2023 | 52.38 Mn |
| Sep 30, 2023 | 53.31 Mn |
| Jun 30, 2023 | 56.54 Mn |
| Mar 31, 2023 | 60.60 Mn |
| Dec 31, 2022 | 58.39 Mn |
| Sep 30, 2022 | 62.72 Mn |
| Jun 30, 2022 | 66.62 Mn |
| Mar 31, 2022 | 67.34 Mn |
| Dec 31, 2021 | 71.49 Mn |
| Sep 30, 2021 | 77.97 Mn |
Nlight Total Liabilities 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=total-liabilities&ticker=LASR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();