Ondas (ONDS) Total Non-Current Liabilities (2017 - 2026)
Ondas' Total Non-Current Liabilities was $10.96 million in Q2 2026, up 40.5% from $7.8 million a year earlier but down 96.4% from the prior quarter.
Ondas (ONDS) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ondas came in at $201.59 million, up 772.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 192.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $23.1 million in FY2024 (+106.8%), $11.17 million in FY2023 (-34.3%), $17 million in FY2022 and $581,829 in FY2021 (-38.3%).
- Quarterly Total Non-Current Liabilities has moved between $581,829 (Q4 2021) and $302.52 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last seven quarters, with growth averaging 126.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 772.6%); the worst was Q3 2022 (a decline of 78.4%).
- Per Business Quant data, ONDS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $302.52 million (Q1 2026), $201.59 million (Q4 2025) and $8.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Ondas | 4.07 Bn | 210.18 Mn | 36.13 Mn | 10.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.96 Mn |
| Mar 31, 2026 | 302.52 Mn |
| Dec 31, 2025 | 201.59 Mn |
| Sep 30, 2025 | 8.47 Mn |
| Jun 30, 2025 | 7.80 Mn |
| Mar 31, 2025 | 7.53 Mn |
| Dec 31, 2024 | 23.10 Mn |
| Sep 30, 2024 | 7.55 Mn |
| Jun 30, 2024 | 8.22 Mn |
| Mar 31, 2024 | 9.99 Mn |
| Dec 31, 2023 | 11.17 Mn |
| Sep 30, 2023 | 8.87 Mn |
| Jun 30, 2023 | 5.99 Mn |
| Mar 31, 2023 | 14.97 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 2.91 Mn |
| Jun 30, 2022 | 3.02 Mn |
| Mar 31, 2022 | 3.07 Mn |
| Dec 31, 2021 | 581,829.00 |
| Sep 30, 2021 | 13.49 Mn |
Ondas Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ONDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();