Ocean Power Technologies (OPTT) Accumulated Expenses (2011 - 2026)
Ocean Power Technologies' Accumulated Expenses was $4.23 million in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 233.0% from $1.27 million a year earlier and up 38.9% from the prior quarter.
Ocean Power Technologies (OPTT) Accumulated Expenses (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Ocean Power Technologies has reported Accumulated Expenses for 59 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 17.6% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $1.27 million in FY2025 (-28.9%), $1.79 million in FY2024 (-23.8%), $2.35 million in FY2023 (+167.5%) and $877,000 in FY2022 (-53.4%).
- The fiscal Q4 2026 figure marks the highest quarterly Accumulated Expenses since fiscal Q2 2014.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last seven quarters, with growth averaging 23.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2026 (growth of 233.0%); the worst was fiscal Q4 2022 (a decline of 53.4%).
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
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.23 Mn |
| Jan 31, 2026 | 3.05 Mn |
| Jul 31, 2025 | 1.29 Mn |
| Apr 30, 2025 | 1.27 Mn |
| Jan 31, 2025 | 2.24 Mn |
| Oct 31, 2024 | 1.43 Mn |
| Jul 31, 2024 | 1.58 Mn |
| Apr 30, 2024 | 1.79 Mn |
| Jan 31, 2024 | 2.99 Mn |
| Oct 31, 2023 | 2.09 Mn |
| Jul 31, 2023 | 1.56 Mn |
| Apr 30, 2023 | 2.35 Mn |
| Jan 31, 2023 | 1.63 Mn |
| Oct 31, 2022 | 1.56 Mn |
| Jul 31, 2022 | 1.09 Mn |
| Apr 30, 2022 | 877,000.00 |
| Jan 31, 2022 | 1.29 Mn |
| Oct 31, 2021 | 1.58 Mn |
| Jul 31, 2021 | 1.82 Mn |
| Apr 30, 2021 | 1.88 Mn |
Ocean Power 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=OPTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OPTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();