Ondas (ONDS) Non-Current Assets (2017 - 2026)
Ondas' Non-Current Assets was $94.09 million in Q2 2026, up 54.9% from $60.74 million a year earlier but down 88.4% from the prior quarter.
Analysis
Ondas (ONDS) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Ondas came in at $446.94 million, up 619.7% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 272.6% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $62.1 million in FY2024 (-9.4%), $68.56 million in FY2023 (+10.3%), $62.14 million in FY2022 (-14.6%) and $72.78 million in FY2021.
- Quarterly Non-Current Assets has moved between $60.74 million (Q2 2025) and $810.17 million (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Assets was higher in three of the last seven quarters, with growth averaging 92.5%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 619.7%); the worst was Q2 2023 (a decline of 26.6%).
- Per Business Quant data, ONDS's Non-Current Assets in the three quarters before Q2 2026 was $810.17 million (Q1 2026), $446.94 million (Q4 2025) and $71.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Ondas | 4.07 Bn | 210.18 Mn | 36.13 Mn | 94.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.09 Mn |
| Mar 31, 2026 | 810.17 Mn |
| Dec 31, 2025 | 446.94 Mn |
| Sep 30, 2025 | 71.27 Mn |
| Jun 30, 2025 | 60.74 Mn |
| Mar 31, 2025 | 61.20 Mn |
| Dec 31, 2024 | 62.10 Mn |
| Sep 30, 2024 | 62.99 Mn |
| Jun 30, 2024 | 67.45 Mn |
| Mar 31, 2024 | 68.11 Mn |
| Dec 31, 2023 | 68.56 Mn |
| Sep 30, 2023 | 70.37 Mn |
| Jun 30, 2023 | 71.47 Mn |
| Mar 31, 2023 | 72.55 Mn |
| Dec 31, 2022 | 62.14 Mn |
| Sep 30, 2022 | 83.84 Mn |
| Jun 30, 2022 | 97.32 Mn |
| Mar 31, 2022 | 76.25 Mn |
| Dec 31, 2021 | 72.78 Mn |
| Sep 30, 2021 | 82.07 Mn |
API Access
Ondas Non-Current Assets 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=non-current-assets&ticker=ONDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();