Lightpath Technologies (LPTH) Research & Development (2010 - 2026)
Lightpath Technologies (LPTH) posted Research & Development of $1.13 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.7% from $1.06 million a year earlier and up 8.1% from the prior quarter.
Lightpath Technologies (LPTH) Research & Development (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lightpath Technologies' Research & Development came in at $3.78 million, up 23.5% from FY2025.
- Annual Research & Development has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- In prior fiscal years, Lightpath Technologies' Research & Development was $3.06 million in FY2025 (+27.6%), $2.4 million in FY2024 (+11.9%), $2.15 million in FY2023 (+2.9%) and $2.09 million in FY2022 (-3.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Research & Development in data going back to fiscal Q1 2011.
- On a year-over-year basis, Research & Development increased in six of the last eight quarters, with growth averaging 29.9%.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q4 2025, with growth of 82.7%; the weakest was fiscal Q1 2025, with a decline of 25.5%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $1.04 million (Q3 2026), $748,829 (Q2 2026) and $867,428 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 921.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 8.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 524.00 Mn |
| 10 | Lightpath Technologies | 524.67 Mn | 291.12 Mn | 8.35 Mn | 1.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Mn |
| Mar 31, 2026 | 1.04 Mn |
| Dec 31, 2025 | 748,829.00 |
| Sep 30, 2025 | 867,428.00 |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 757,938.00 |
| Dec 31, 2024 | 764,396.00 |
| Sep 30, 2024 | 476,441.00 |
| Jun 30, 2024 | 582,822.00 |
| Mar 31, 2024 | 569,962.00 |
| Dec 31, 2023 | 607,747.00 |
| Sep 30, 2023 | 639,889.00 |
| Jun 30, 2023 | 615,675.00 |
| Mar 31, 2023 | 513,694.00 |
| Dec 31, 2022 | 466,163.00 |
| Sep 30, 2022 | 549,881.00 |
| Jun 30, 2022 | 516,310.00 |
| Mar 31, 2022 | 590,405.00 |
| Dec 31, 2021 | 551,960.00 |
| Sep 30, 2021 | 427,011.00 |
Lightpath Technologies Research & Development 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=research-and-development&ticker=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();