Ocean Power Technologies (OPTT) Depreciation & Amortization (CF) (2010 - 2026)
Ocean Power Technologies (OPTT) reported Depreciation & Amortization (CF) of $267,000 for fiscal Q3 2026 (quarter ended Jan 31, 2026), up 42.0% from $188,000 a year earlier.
Ocean Power Technologies (OPTT) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Ocean Power Technologies' Depreciation & Amortization (CF) came in at $968,000, up 19.4% year-over-year; for FY2025 (ended Apr 30, 2025), it was $904,000, up 115.2% from FY2024.
- Depreciation & Amortization (CF) has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 41.7% (FY2020 to FY2025).
- By fiscal year, Depreciation & Amortization (CF) came in at $420,000 in FY2024 (+129.5%), $183,000 in FY2023 (+27.1%), $144,000 in FY2022 (+0.7%) and $143,000 in FY2021 (-9.5%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $26,000 in fiscal Q4 2023 and a high of $286,000 in fiscal Q4 2025.
- Year over year, Depreciation & Amortization (CF) gained in six of the last seven quarters, with growth averaging 145.0%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q4 2024 (growth of 415.4%); the low point was fiscal Q4 2023 (a decline of 35.0%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 224.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.08 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 596.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 400.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 84.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 148.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 367.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Ocean Power Technologies | 10.20 Mn | -22.15 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 267,000.00 |
| Jul 31, 2025 | 227,000.00 |
| Apr 30, 2025 | 286,000.00 |
| Jan 31, 2025 | 188,000.00 |
| Oct 31, 2024 | 252,000.00 |
| Jul 31, 2024 | 237,000.00 |
| 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 | 37,000.00 |
| Jan 31, 2021 | 33,000.00 |
Ocean Power Technologies Depreciation & Amortization (CF) 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-amortization-cf&ticker=OPTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=OPTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();