Lightpath Technologies (LPTH) Amortization - Intangibles (2010 - 2026)
Lightpath Technologies' Amortization - Intangibles was $455,025 in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$54,695 a year earlier and down 4.7% from the prior quarter.
Lightpath Technologies (LPTH) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Amortization - Intangibles at Lightpath Technologies came in at $1.83 million, up 29.6% from FY2025.
- Amortization - Intangibles shows a five-year compound annual growth rate of 10.3% (FY2021 to FY2026).
- In earlier fiscal years, Amortization - Intangibles was $1.41 million in FY2025 (-13.5%), $1.64 million in FY2024 (+45.4%), $1.13 million in FY2023 (unchanged) and $1.13 million in FY2022 (unchanged).
- Quarterly Amortization - Intangibles has moved between -$54,695 (fiscal Q4 2025) and $779,025 (fiscal Q3 2025) over five years.
- Compared with a year earlier, Amortization - Intangibles was higher in four of the last six quarters, with growth averaging 18.1%.
- The best year-over-year quarter for Amortization - Intangibles over five years was fiscal Q3 2025 (growth of 79.3%); the worst was fiscal Q2 2025 (a decline of 39.3%).
- Per Business Quant data, LPTH's Amortization - Intangibles in the three fiscal quarters before Q4 2026 was $477,245 (Q3 2026), $450,526 (Q2 2026) and $450,524 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Lightpath Technologies | 550.29 Mn | 316.74 Mn | 8.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 455,025.00 |
| Mar 31, 2026 | 477,245.00 |
| Dec 31, 2025 | 450,526.00 |
| Sep 30, 2025 | 450,524.00 |
| Jun 30, 2025 | -54,695.00 |
| Mar 31, 2025 | 779,025.00 |
| Dec 31, 2024 | 294,711.00 |
| Sep 30, 2024 | 395,776.00 |
| Jun 30, 2024 | 434,403.00 |
| Mar 31, 2024 | 434,403.00 |
| Dec 31, 2023 | 485,446.00 |
| Sep 30, 2023 | 281,271.00 |
| Jun 30, 2023 | 281,271.00 |
| Mar 31, 2023 | 281,270.00 |
| Dec 31, 2022 | 281,271.00 |
| Sep 30, 2022 | 281,271.00 |
| Jun 30, 2022 | 281,271.00 |
| Mar 31, 2022 | 281,270.00 |
| Dec 31, 2021 | 281,271.00 |
| Sep 30, 2021 | 281,271.00 |
Lightpath Technologies Amortization - Intangibles 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=amortization-intangibles&ticker=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();