Ondas (ONDS) Operating Margin (2016 - 2026)
Ondas (ONDS) reported Operating Margin of -194.51% for Q2 2026, down 47.05 percentage points from -147.46% a year earlier and down 109.38 percentage points from the prior quarter.
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Analysis
Ondas (ONDS) Operating Margin (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ondas' Operating Margin came in at -140.40%, up 87.35 percentage points year-over-year; for FY2025, it was -115.09%, up 366.06 percentage points from FY2024.
- Operating Margin has a five-year change of +417.51 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -481.15% in FY2024 (-227.96 pp), -253.19% in FY2023 (+3012.82 pp), -3266.02% in FY2022 (-2647.68 pp) and -618.34% in FY2021 (-85.74 pp).
- The Q2 2026 figure ranks as the lowest quarterly Operating Margin since Q1 2025.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +286.77 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2023 (a gain of 6952.35 percentage points); the low point was Q4 2022 (a drop of 5974.75 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -85.13% (Q1 2026), -77.45% (Q4 2025) and -153.53% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 18.37% |
| 10 | Ondas | 4.07 Bn | 210.18 Mn | 36.13 Mn | -194.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -194.51% |
| Mar 31, 2026 | -85.13% |
| Dec 31, 2025 | -77.45% |
| Sep 30, 2025 | -153.53% |
| Jun 30, 2025 | -147.46% |
| Mar 31, 2025 | -242.70% |
| Dec 31, 2024 | -206.27% |
| Sep 30, 2024 | -584.87% |
| Jun 30, 2024 | -866.90% |
| Mar 31, 2024 | -1,460.33% |
| Dec 31, 2023 | -254.89% |
| Sep 30, 2023 | -222.65% |
| Jun 30, 2023 | -155.36% |
| Mar 31, 2023 | -487.39% |
| Dec 31, 2022 | -7,207.24% |
| Sep 30, 2022 | -2,142.13% |
| Jun 30, 2022 | -1,882.28% |
| Mar 31, 2022 | -2,435.73% |
| Dec 31, 2021 | -1,232.49% |
| Sep 30, 2021 | -1,734.15% |
API Access
Ondas Operating 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=operating-margin&ticker=ONDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();