Ondas (ONDS) Depreciation and Depletion (2017 - 2026)
Ondas (ONDS) reported Depreciation and Depletion of $900,000 for Q2 2026, up 350.0% from $200,000 a year earlier and up 34.5% from the prior quarter.
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Analysis
Ondas (ONDS) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ondas' Depreciation and Depletion came in at $2.15 million, up 186.5% year-over-year; for FY2025, it was $946,000, up 57.1% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 57.5% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $602,000 in FY2024 (-28.7%), $844,833 in FY2023 (+88.0%), $449,458 in FY2022 (+286.7%) and $116,231 in FY2021 (+18.9%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q4 2017.
- Year over year, Depreciation and Depletion has now increased in each of the last six quarters, with growth averaging 104.4% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2023 (growth of 537.2%); the low point was Q1 2024 (a decline of 51.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $669,000 (Q1 2026), $380,357 (Q4 2025) and $195,954 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | - |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Ondas | 3.77 Bn | -86.53 Mn | 36.13 Mn | 900,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900,000.00 |
| Mar 31, 2026 | 669,000.00 |
| Dec 31, 2025 | 380,357.00 |
| Sep 30, 2025 | 195,954.00 |
| Jun 30, 2025 | 200,000.00 |
| Mar 31, 2025 | 181,000.00 |
| Dec 31, 2024 | 177,363.00 |
| Sep 30, 2024 | 190,332.00 |
| Jun 30, 2024 | 111,234.00 |
| Mar 31, 2024 | 123,071.00 |
| Dec 31, 2023 | 196,209.00 |
| Sep 30, 2023 | 235,999.00 |
| Jun 30, 2023 | 160,081.00 |
| Mar 31, 2023 | 252,544.00 |
| Dec 31, 2022 | 169,263.00 |
| Sep 30, 2022 | 153,159.00 |
| Jun 30, 2022 | 87,402.00 |
| Mar 31, 2022 | 39,634.00 |
| Dec 31, 2021 | 38,406.00 |
| Sep 30, 2021 | 27,553.00 |
API Access
Ondas 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=ONDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ONDS", "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=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();