Lightpath Technologies (LPTH) Accumulated Expenses (2011 - 2026)
Lightpath Technologies (LPTH) reported Accumulated Expenses of $12.78 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 124.7% from $5.69 million a year earlier and up 18.2% from the prior quarter.
Lightpath Technologies (LPTH) Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Lightpath Technologies' Accumulated Expenses record includes 54 quarters.
- Accumulated Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 64.3% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $5.69 million in FY2025 (+197.4%), $1.91 million in FY2024 (+188.7%), $662,242 in FY2023 (+18.5%) and $558,750 in FY2022 (-47.6%).
- Five-year quarterly Accumulated Expenses spans a low of $558,750 in fiscal Q4 2022 and a high of $14.26 million in fiscal Q2 2026.
- Year over year, Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 244.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2026 (growth of 884.6%); the low point was fiscal Q3 2022 (a decline of 51.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $10.81 million (Q3 2026), $14.26 million (Q2 2026) and $8.23 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Lightpath Technologies | 377.36 Mn | 143.81 Mn | 8.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.78 Mn |
| Mar 31, 2026 | 10.81 Mn |
| Dec 31, 2025 | 14.26 Mn |
| Sep 30, 2025 | 8.23 Mn |
| Jun 30, 2025 | 5.69 Mn |
| Mar 31, 2025 | 3.08 Mn |
| Dec 31, 2024 | 1.45 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 1.88 Mn |
| Dec 31, 2023 | 1.99 Mn |
| Sep 30, 2023 | 1.74 Mn |
| Jun 30, 2023 | 662,242.00 |
| Mar 31, 2023 | 678,092.00 |
| Dec 31, 2022 | 775,630.00 |
| Sep 30, 2022 | 864,301.00 |
| Jun 30, 2022 | 558,750.00 |
| Mar 31, 2022 | 670,171.00 |
| Dec 31, 2021 | 1.09 Mn |
| Sep 30, 2021 | 883,377.00 |
Lightpath Technologies Accumulated 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=accumulated-expenses&ticker=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();