Ondas (ONDS) EBITDA Margin (2017 - 2026)
Ondas (ONDS) posted EBITDA Margin of -171.07% for Q2 2026, down 44.16 percentage points from -126.91% a year earlier and down 98.49 percentage points from the prior quarter.
Ondas (ONDS) EBITDA Margin (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Ondas was -123.06%, up 66.82 percentage points year-over-year; for FY2025, it was -101.77%, up 312.34 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +424.47 percentage points (FY2020 to FY2025).
- In prior years, Ondas' EBITDA Margin was -414.11% in FY2024 (-219.16 pp), -194.95% in FY2023 (+2714.04 pp), -2908.99% in FY2022 (-2390.73 pp) and -518.26% in FY2021 (+7.98 pp).
- The Q2 2026 figure stands as the lowest quarterly EBITDA Margin since Q1 2025.
- On a year-over-year basis, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +203.75 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2023, with a gain of 6552.14 percentage points; the weakest was Q4 2022, with a drop of 5798.89 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -72.58% (Q1 2026), -67.54% (Q4 2025) and -140.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | -45.24% |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 17.64% |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 3.88% |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 13.85% |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 11.99% |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 27.46% |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 32.19% |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 14.82% |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 15.40% |
| 10 | Ondas | 2.67 Bn | -1.19 Bn | 36.13 Mn | -171.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -171.07% |
| Mar 31, 2026 | -72.58% |
| Dec 31, 2025 | -66.95% |
| Sep 30, 2025 | -138.92% |
| Jun 30, 2025 | -107.88% |
| Mar 31, 2025 | -134.79% |
| Dec 31, 2024 | -151.54% |
| Sep 30, 2024 | -420.23% |
| Jun 30, 2024 | -619.26% |
| Mar 31, 2024 | -1,017.61% |
| Dec 31, 2023 | -194.74% |
| Sep 30, 2023 | -125.41% |
| Jun 30, 2023 | -111.74% |
| Mar 31, 2023 | -344.45% |
| Dec 31, 2022 | -6,761.01% |
| Sep 30, 2022 | -1,856.26% |
| Jun 30, 2022 | -1,562.23% |
| Mar 31, 2022 | -2,018.70% |
| Dec 31, 2021 | -962.12% |
| Sep 30, 2021 | -1,266.41% |
Ondas EBITDA Margin 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=ebitda-margin&ticker=ONDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();