Nlight (LASR) Total Non-Current Liabilities (2017 - 2026)
Nlight (LASR) posted Total Non-Current Liabilities of $71.85 million for Q2 2026, down 2.5% from $73.71 million a year earlier and down 10.7% from the prior quarter.
Powered by 
Analysis
Nlight (LASR) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Nlight's Total Non-Current Liabilities came in at $82.56 million, up 71.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Nlight's Total Non-Current Liabilities was $48.27 million in FY2024 (+2.7%), $46.99 million in FY2023 (-9.1%), $51.69 million in FY2022 (-19.7%) and $64.34 million in FY2021 (+14.5%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 27.6%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2025, with growth of 71.0%; the weakest was Q3 2022, with a decline of 20.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $80.47 million (Q1 2026), $82.56 million (Q4 2025) and $74.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 7.65 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 10.73 Bn |
| 10 | Nlight | 2.06 Bn | 1.15 Bn | 25.73 Mn | 66.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.80 Mn |
| Mar 31, 2026 | 75.73 Mn |
| Dec 31, 2025 | 77.64 Mn |
| Sep 30, 2025 | 69.54 Mn |
| Jun 30, 2025 | 69.14 Mn |
| Mar 31, 2025 | 67.25 Mn |
| Dec 31, 2024 | 44.05 Mn |
| Sep 30, 2024 | 46.16 Mn |
| Jun 30, 2024 | 45.29 Mn |
| Mar 31, 2024 | 49.26 Mn |
| Dec 31, 2023 | 43.73 Mn |
| Sep 30, 2023 | 45.02 Mn |
| Jun 30, 2023 | 48.22 Mn |
| Mar 31, 2023 | 49.32 Mn |
| Dec 31, 2022 | 47.34 Mn |
| Sep 30, 2022 | 52.25 Mn |
| Jun 30, 2022 | 55.64 Mn |
| Mar 31, 2022 | 55.82 Mn |
| Dec 31, 2021 | 60.38 Mn |
| Sep 30, 2021 | 67.00 Mn |
API Access
Nlight Total Non-Current 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-non-current-liabilities&ticker=LASR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();