Lightpath Technologies (LPTH) Operating Expenses (2010 - 2026)
Lightpath Technologies (LPTH) posted Operating Expenses of $12.64 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 75.6% from $7.2 million a year earlier and up 12.8% from the prior quarter.
Lightpath Technologies (LPTH) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lightpath Technologies' Operating Expenses came in at $45.46 million, up 107.1% from FY2025.
- Annual Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 24.3% (FY2021 to FY2026).
- In prior fiscal years, Lightpath Technologies' Operating Expenses was $21.95 million in FY2025 (+33.4%), $16.46 million in FY2024 (+12.5%), $14.63 million in FY2023 (+1.3%) and $14.44 million in FY2022 (-5.5%).
- Quarterly Operating Expenses has run from a low of $3.47 million in fiscal Q1 2023 to a high of $14.62 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 14 quarters, with growth averaging 72.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 231.1%; the weakest was fiscal Q4 2022, with a decline of 25.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $11.21 million (Q3 2026), $14.62 million (Q2 2026) and $6.99 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Lightpath Technologies | 524.67 Mn | 291.12 Mn | 8.35 Mn | 12.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.64 Mn |
| Mar 31, 2026 | 11.21 Mn |
| Dec 31, 2025 | 14.62 Mn |
| Sep 30, 2025 | 6.99 Mn |
| Jun 30, 2025 | 7.20 Mn |
| Mar 31, 2025 | 6.12 Mn |
| Dec 31, 2024 | 4.42 Mn |
| Sep 30, 2024 | 4.22 Mn |
| Jun 30, 2024 | 4.73 Mn |
| Mar 31, 2024 | 4.19 Mn |
| Dec 31, 2023 | 3.95 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 3.88 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.78 Mn |
| Sep 30, 2022 | 3.47 Mn |
| Jun 30, 2022 | 3.59 Mn |
| Mar 31, 2022 | 3.49 Mn |
| Dec 31, 2021 | 3.78 Mn |
| Sep 30, 2021 | 3.58 Mn |
Lightpath Technologies Operating Expenses 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=operating-expenses&ticker=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();