Lightpath Technologies (LPTH) Total Non-Current Liabilities (2011 - 2026)
Lightpath Technologies' Total Non-Current Liabilities was $44.53 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 31.5% from $65.04 million a year earlier and down 19.3% from the prior quarter.
Lightpath Technologies (LPTH) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Lightpath Technologies has reported Total Non-Current Liabilities for 43 quarters.
- Total Non-Current Liabilities shows a three-year compound annual growth rate of 36.3% (FY2023 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $65.04 million in FY2025 (+276.5%), $17.28 million in FY2024 (-1.8%) and $17.58 million in FY2023.
- The fiscal Q4 2026 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with growth averaging 125.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2025 (growth of 276.5%); the worst was fiscal Q4 2026 (a decline of 31.5%).
- Per Business Quant data, LPTH's Total Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $55.18 million (Q3 2026), $67.32 million (Q2 2026) and $65.82 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Lightpath Technologies | 524.67 Mn | 291.12 Mn | 8.35 Mn | 44.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.53 Mn |
| Mar 31, 2026 | 55.18 Mn |
| Dec 31, 2025 | 67.32 Mn |
| Sep 30, 2025 | 65.82 Mn |
| Jun 30, 2025 | 65.04 Mn |
| Mar 31, 2025 | 64.76 Mn |
| Dec 31, 2024 | 18.81 Mn |
| Sep 30, 2024 | 18.68 Mn |
| Jun 30, 2024 | 17.28 Mn |
| Mar 31, 2024 | 17.39 Mn |
| Dec 31, 2023 | 19.45 Mn |
| Sep 30, 2023 | 19.34 Mn |
| Jun 30, 2023 | 17.58 Mn |
| Jun 30, 2020 | 13.01 Mn |
| Mar 31, 2020 | 12.14 Mn |
| Dec 31, 2019 | 13.58 Mn |
| Sep 30, 2019 | 13.86 Mn |
| Jun 30, 2019 | 12.00 Mn |
| Mar 31, 2019 | 11.21 Mn |
| Dec 31, 2018 | 10.81 Mn |
Lightpath Technologies 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=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LPTH", "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=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();