Ocean Power Technologies (OPTT) Depreciation and Depletion (2018 - 2026)
Ocean Power Technologies (OPTT) recorded Depreciation and Depletion of $234,000 in fiscal Q3 2026 (quarter ended Jan 31, 2026), up 51.0% from $155,000 a year earlier.
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Analysis
Ocean Power Technologies (OPTT) Depreciation and Depletion (2018 - 2026) Analysis & Trends
On a TTM basis, Ocean Power Technologies' Depreciation and Depletion came in at $750,000 as of Jan 31, 2026, up 0.7% year-over-year; for FY2025 (ended Apr 30, 2025), it came in at $771,000, up 83.6% from FY2024.
- Annual Depreciation and Depletion has increased for four straight fiscal years, with a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation and Depletion came in at $420,000 in FY2024 (+129.5%), $183,000 in FY2023 (+27.1%), $144,000 in FY2022 (+44.0%) and $100,000 in FY2021 (-50.0%).
- The fiscal Q3 2026 figure is the highest quarterly Depreciation and Depletion since fiscal Q2 2025.
- On a year-over-year basis, Depreciation and Depletion rose in six of the last seven quarters, with growth averaging 122.5%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 415.4% in fiscal Q4 2024, against a decline of 35.0% in fiscal Q4 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Ocean Power Technologies | 7.77 Mn | -24.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 234,000.00 |
| Jul 31, 2025 | 200,000.00 |
| Apr 30, 2025 | 161,000.00 |
| Jan 31, 2025 | 155,000.00 |
| Oct 31, 2024 | 252,000.00 |
| Jul 31, 2024 | 204,000.00 |
| Apr 30, 2024 | 134,000.00 |
| Jan 31, 2024 | 114,000.00 |
| Oct 31, 2023 | 101,000.00 |
| Jul 31, 2023 | 71,000.00 |
| Apr 30, 2023 | 26,000.00 |
| Jan 31, 2023 | 40,000.00 |
| Oct 31, 2022 | 74,000.00 |
| Jul 31, 2022 | 43,000.00 |
| Apr 30, 2022 | 40,000.00 |
| Jan 31, 2022 | 34,000.00 |
| Oct 31, 2021 | 30,000.00 |
| Jul 31, 2021 | 40,000.00 |
| Apr 30, 2021 | -105.90 Mn |
| Jan 31, 2021 | 33,000.00 |
API Access
Ocean Power Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=OPTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=OPTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();