Ocean Power Technologies (OPTT) Return on Sales [ROS] (2010 - 2026)
Ocean Power Technologies (OPTT) posted Return on Sales [ROS] of -1777.39% for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 1065.27 percentage points from -712.12% a year earlier.
Ocean Power Technologies (OPTT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jan 31, 2026, Return on Sales [ROS] at Ocean Power Technologies was -1205.31%, down 861.51 percentage points year-over-year; for FY2025 (ended Apr 30, 2025), it came in at -370.01%, up 160.87 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive fiscal years, with a five-year change of +305.68 percentage points (FY2020 to FY2025).
- In prior fiscal years, Ocean Power Technologies' Return on Sales [ROS] was -530.88% in FY2024 (+538.52 pp), -1069.40% in FY2023 (+155.90 pp), -1225.30% in FY2022 (-98.27 pp) and -1127.03% in FY2021 (-451.35 pp).
- The fiscal Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] since fiscal Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last seven quarters, with an average year-over-year change of -34.51 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q2 2024, with a gain of 1230.76 percentage points; the weakest was fiscal Q3 2026, with a drop of 1065.27 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.22 Bn | 301.73 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 262.85 Bn | 231.12 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 138.66 Bn | 47.62 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 134.05 Bn | 118.28 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 97.29 Bn | 82.53 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 86.63 Bn | 83.09 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 85.58 Bn | 81.33 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 76.37 Bn | 63.82 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 72.58 Bn | 32.09 Bn | 2.02 Bn | 14.82% |
| 10 | Ocean Power Technologies | 2.70 Mn | -29.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -1,777.39% |
| Jul 31, 2025 | -598.82% |
| Apr 30, 2025 | -564.06% |
| Jan 31, 2025 | -712.12% |
| Oct 31, 2024 | -161.91% |
| Jul 31, 2024 | -343.81% |
| Apr 30, 2024 | -430.28% |
| Jan 31, 2024 | -429.97% |
| Oct 31, 2023 | -841.84% |
| Jul 31, 2023 | -580.03% |
| Apr 30, 2023 | -1,008.78% |
| Jan 31, 2023 | -961.44% |
| Oct 31, 2022 | -2,072.61% |
| Jul 31, 2022 | -839.36% |
| Apr 30, 2022 | -773.15% |
| Jan 31, 2022 | -1,134.71% |
| Oct 31, 2021 | -2,099.19% |
| Jul 31, 2021 | -1,849.63% |
| Apr 30, 2021 | -668.27% |
| Jan 31, 2021 | -997.79% |
Ocean Power Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OPTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OPTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();