Ocean Power Technologies (OPTT) Operating Leases (2019 - 2026)
Ocean Power Technologies' Operating Leases came in at $837,000 for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 29.0% from $649,000 a year earlier but down 27.2% from the prior quarter.
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Analysis
Ocean Power Technologies (OPTT) Operating Leases (2019 - 2026) Analysis & Trends
Going back to fiscal Q1 2020, Ocean Power Technologies' Operating Leases data covers 27 quarters.
- Operating Leases carries a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $649,000 in FY2025 (-63.9%), $1.8 million in FY2024 (+37.1%), $1.31 million in FY2023 (+143.7%) and $538,000 in FY2022 (-34.3%).
- The five-year range for quarterly Operating Leases is $282,000 (fiscal Q3 2023) to $2.07 million (fiscal Q3 2024).
- Year-over-year, Operating Leases has increased for three consecutive quarters, with an average decline of 7.9% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q3 2024 (growth of 632.3%), and the weakest in fiscal Q4 2025 (a decline of 63.9%).
- Business Quant data shows OPTT's Operating Leases at $1.15 million (Q3 2026), $1.46 million (Q2 2026) and $606,000 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
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 | Ocean Power Technologies | 10.20 Mn | -22.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 837,000.00 |
| Jan 31, 2026 | 1.15 Mn |
| Oct 31, 2025 | 1.46 Mn |
| Jul 31, 2025 | 606,000.00 |
| Apr 30, 2025 | 649,000.00 |
| Jan 31, 2025 | 950,000.00 |
| Oct 31, 2024 | 1.25 Mn |
| Jul 31, 2024 | 1.53 Mn |
| Apr 30, 2024 | 1.80 Mn |
| Jan 31, 2024 | 2.07 Mn |
| Oct 31, 2023 | 1.06 Mn |
| Jul 31, 2023 | 1.17 Mn |
| Apr 30, 2023 | 1.31 Mn |
| Jan 31, 2023 | 282,000.00 |
| Oct 31, 2022 | 367,000.00 |
| Jul 31, 2022 | 446,000.00 |
| Apr 30, 2022 | 538,000.00 |
| Jan 31, 2022 | 615,000.00 |
| Oct 31, 2021 | 690,000.00 |
| Jul 31, 2021 | 774,000.00 |
API Access
Ocean Power 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=OPTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "OPTT", "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=OPTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();