Lightpath Technologies (LPTH) Operating Leases (2019 - 2026)
Lightpath Technologies (LPTH) recorded Operating Leases of $8.89 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.7% from $8.33 million a year earlier but down 3.4% from the prior quarter.
Lightpath Technologies (LPTH) Operating Leases (2019 - 2026) Analysis & Trends
Starting with fiscal Q1 2020, Lightpath Technologies' Operating Leases history includes 28 quarters.
- Annual Operating Leases has a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $8.33 million in FY2025 (+3.3%), $8.06 million in FY2024 (-4.0%), $8.39 million in FY2023 (-11.4%) and $9.48 million in FY2022 (+12.0%).
- Quarterly Operating Leases has ranged from $7.52 million in fiscal Q3 2025 to $9.69 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Operating Leases has increased for five consecutive quarters, with growth averaging 1.9% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 902.8% in fiscal Q2 2022, against a decline of 12.2% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.2 million (Q3 2026), $8.1 million (Q2 2026) and $8.44 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 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 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Lightpath Technologies | 524.67 Mn | 291.12 Mn | 8.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.89 Mn |
| Mar 31, 2026 | 9.20 Mn |
| Dec 31, 2025 | 8.10 Mn |
| Sep 30, 2025 | 8.44 Mn |
| Jun 30, 2025 | 8.33 Mn |
| Mar 31, 2025 | 7.52 Mn |
| Dec 31, 2024 | 7.54 Mn |
| Sep 30, 2024 | 7.84 Mn |
| Jun 30, 2024 | 8.06 Mn |
| Mar 31, 2024 | 8.32 Mn |
| Dec 31, 2023 | 8.58 Mn |
| Sep 30, 2023 | 8.77 Mn |
| Jun 30, 2023 | 8.39 Mn |
| Mar 31, 2023 | 8.66 Mn |
| Dec 31, 2022 | 8.92 Mn |
| Sep 30, 2022 | 9.11 Mn |
| Jun 30, 2022 | 9.48 Mn |
| Mar 31, 2022 | 9.69 Mn |
| Dec 31, 2021 | 8.94 Mn |
| Sep 30, 2021 | 9.24 Mn |
Lightpath Technologies Operating Leases 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-leases&ticker=LPTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=LPTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();