Ondas (ONDS) Total Liabilities (2016 - 2026)
Ondas' Total Liabilities was $1.42 billion in Q2 2026, compared with $61.13 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Ondas (ONDS) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Ondas came in at $691.02 million, up 642.7% from FY2024.
- Total Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 119.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $93.04 million in FY2024 (+57.6%), $59.03 million in FY2023 (+48.6%), $39.72 million in FY2022 (+663.0%) and $5.21 million in FY2021 (-61.2%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Liabilities was higher in four of the last six quarters, with growth averaging 122.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 663.0%); the worst was Q4 2021 (a decline of 61.2%).
- Per Business Quant data, ONDS's Total Liabilities in the three quarters before Q2 2026 was $1.36 billion (Q1 2026), $691.02 million (Q4 2025) and $62.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Ondas | 4.07 Bn | 210.18 Mn | 36.13 Mn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 691.02 Mn |
| Sep 30, 2025 | 62.93 Mn |
| Jun 30, 2025 | 61.13 Mn |
| Mar 31, 2025 | 78.52 Mn |
| Dec 31, 2024 | 93.04 Mn |
| Sep 30, 2024 | 65.24 Mn |
| Jun 30, 2024 | 63.13 Mn |
| Mar 31, 2024 | 63.85 Mn |
| Dec 31, 2023 | 59.03 Mn |
| Sep 30, 2023 | 55.45 Mn |
| Jun 30, 2023 | 35.04 Mn |
| Mar 31, 2023 | 39.69 Mn |
| Dec 31, 2022 | 39.72 Mn |
| Sep 30, 2022 | 9.21 Mn |
| Jun 30, 2022 | 22.64 Mn |
| Mar 31, 2022 | 8.42 Mn |
| Dec 31, 2021 | 5.21 Mn |
| Sep 30, 2021 | 17.76 Mn |
API Access
Ondas Total 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-liabilities&ticker=ONDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();