Ocean Power Technologies (OPTT) Operating Expenses (2010 - 2026)
Ocean Power Technologies (OPTT) reported Operating Expenses of $8.36 million for fiscal Q3 2026 (quarter ended Jan 31, 2026), up 37.7% from $6.07 million a year earlier.
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Analysis
Ocean Power Technologies (OPTT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Ocean Power Technologies' Operating Expenses came in at $29.13 million, up 25.1% year-over-year; for FY2025 (ended Apr 30, 2025), it was $23.35 million, down 27.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $32.23 million in FY2024 (+9.4%), $29.45 million in FY2023 (+37.3%), $21.45 million in FY2022 (+71.4%) and $12.52 million in FY2021 (+11.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q3 2024.
- Year over year, Operating Expenses gained in three of the last seven quarters, with an average decline of 7.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2022 (growth of 95.5%); the low point was fiscal Q2 2025 (a decline of 41.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 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 | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Ocean Power Technologies | 10.20 Mn | -22.15 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 8.36 Mn |
| Jul 31, 2025 | 7.06 Mn |
| Apr 30, 2025 | 7.64 Mn |
| Jan 31, 2025 | 6.07 Mn |
| Oct 31, 2024 | 4.71 Mn |
| Jul 31, 2024 | 4.92 Mn |
| Apr 30, 2024 | 7.58 Mn |
| Jan 31, 2024 | 8.55 Mn |
| Oct 31, 2023 | 8.00 Mn |
| Jul 31, 2023 | 8.10 Mn |
| Apr 30, 2023 | 9.91 Mn |
| Jan 31, 2023 | 6.82 Mn |
| Oct 31, 2022 | 6.41 Mn |
| Jul 31, 2022 | 6.32 Mn |
| Apr 30, 2022 | 6.00 Mn |
| Jan 31, 2022 | 5.44 Mn |
| Oct 31, 2021 | 5.13 Mn |
| Jul 31, 2021 | 4.88 Mn |
| Apr 30, 2021 | 3.59 Mn |
| Jan 31, 2021 | 2.78 Mn |
API Access
Ocean Power 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=OPTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=OPTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();