Lightpath Technologies (LPTH) Total Liabilities (2011 - 2026)
Lightpath Technologies (LPTH) recorded Total Liabilities of $44.53 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 32.4% from $65.86 million a year earlier and down 19.3% from the prior quarter.
Lightpath Technologies (LPTH) Total Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Lightpath Technologies' Total Liabilities history includes 54 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of 16.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $65.86 million in FY2025 (+268.2%), $17.89 million in FY2024 (+1.7%), $17.58 million in FY2023 (-16.2%) and $20.98 million in FY2022 (-0.2%).
- The fiscal Q4 2026 figure is the lowest quarterly Total Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 123.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 269.3% in fiscal Q2 2026, against a decline of 32.4% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $55.18 million (Q3 2026), $70.62 million (Q2 2026) and $65.82 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 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 | 70.62 Mn |
| Sep 30, 2025 | 65.82 Mn |
| Jun 30, 2025 | 65.86 Mn |
| Mar 31, 2025 | 65.70 Mn |
| Dec 31, 2024 | 19.13 Mn |
| Sep 30, 2024 | 19.00 Mn |
| Jun 30, 2024 | 17.89 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 20.36 Mn |
| Sep 30, 2023 | 20.42 Mn |
| Jun 30, 2023 | 17.58 Mn |
| Mar 31, 2023 | 18.47 Mn |
| Dec 31, 2022 | 18.77 Mn |
| Sep 30, 2022 | 19.75 Mn |
| Jun 30, 2022 | 20.98 Mn |
| Mar 31, 2022 | 20.48 Mn |
| Dec 31, 2021 | 19.79 Mn |
| Sep 30, 2021 | 21.14 Mn |
Lightpath Technologies 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=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();