Ondas (ONDS) Amortizatization of Intangibles (2018 - 2026)
Ondas (ONDS) recorded Amortizatization of Intangibles of $18.7 million in Q2 2026, compared with $1.1 million a year earlier and up 232.6% from the prior quarter.
Ondas (ONDS) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
On a TTM basis, Ondas' Amortizatization of Intangibles came in at $28.01 million as of Jun 30, 2026, up 549.3% year-over-year; for FY2025, it was $5.81 million, up 37.6% from FY2024.
- Annual Amortizatization of Intangibles has increased for four straight years, with a five-year compound annual growth rate of 211.4% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $4.22 million in FY2024 (+1.8%), $4.15 million in FY2023 (+16.2%), $3.57 million in FY2022 (+155.7%) and $1.4 million in FY2021.
- The Q2 2026 figure is the highest quarterly Amortizatization of Intangibles in data going back to Q4 2018.
- On a year-over-year basis, Amortizatization of Intangibles rose in six of the last seven quarters, with growth averaging 81.4%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 411.1% in Q1 2026, against a decline of 0.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.62 million (Q1 2026), $2.6 million (Q4 2025) and $1.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 88.00 Mn |
| 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 | 43.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | - |
| 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 | Ondas | 3.84 Bn | -22.95 Mn | 36.13 Mn | 18.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.70 Mn |
| Mar 31, 2026 | 5.62 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 1.06 Mn |
| Jun 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 1.04 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 1.06 Mn |
| Mar 31, 2023 | 978,838.00 |
| Dec 31, 2022 | 843,795.00 |
| Sep 30, 2022 | 904,059.00 |
| Jun 30, 2022 | 966,910.00 |
| Mar 31, 2022 | 855,326.00 |
| Dec 31, 2021 | 714,125.00 |
| Sep 30, 2021 | 662,622.00 |
Ondas Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=ONDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();