Ondas (ONDS) Shares Outstanding (Diluted) (2019 - 2026)
Ondas (ONDS) posted Shares Outstanding (Diluted) of 503.59 million for Q2 2026, up 234.3% from 150.65 million a year earlier and up 127.1% from the prior quarter.
Ondas (ONDS) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Ondas' Shares Outstanding (Diluted) came in at 221.77 million, up 217.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 61.7% (FY2020 to FY2025).
- In prior years, Ondas' Shares Outstanding (Diluted) was 69.92 million in FY2024 (+32.6%), 52.74 million in FY2023 (+24.9%), 42.24 million in FY2022 (+23.6%) and 34.18 million in FY2021 (+70.5%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2019.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 24 quarters, with growth averaging 135.9% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 9.8% (Q3 2022) and 267.4% (Q3 2025) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 221.77 million (Q1 2026), 221.77 million (Q4 2025) and 259.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 1.05 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.37 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 231.10 Mn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 402.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 273.52 Mn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 167.20 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 142.40 Mn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 318.60 Mn |
| 10 | Ondas | 4.07 Bn | 210.18 Mn | 36.13 Mn | 503.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 503.59 Mn |
| Mar 31, 2026 | 221.77 Mn |
| Dec 31, 2025 | 221.77 Mn |
| Sep 30, 2025 | 259.91 Mn |
| Jun 30, 2025 | 150.65 Mn |
| Mar 31, 2025 | 105.00 Mn |
| Dec 31, 2024 | 69.92 Mn |
| Sep 30, 2024 | 70.74 Mn |
| Jun 30, 2024 | 66.38 Mn |
| Mar 31, 2024 | 63.04 Mn |
| Dec 31, 2023 | 52.74 Mn |
| Sep 30, 2023 | 53.89 Mn |
| Jun 30, 2023 | 51.11 Mn |
| Mar 31, 2023 | 47.70 Mn |
| Dec 31, 2022 | 42.24 Mn |
| Sep 30, 2022 | 42.66 Mn |
| Jun 30, 2022 | 42.17 Mn |
| Mar 31, 2022 | 40.99 Mn |
| Dec 31, 2021 | 34.18 Mn |
| Sep 30, 2021 | 38.84 Mn |
Ondas Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ONDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ONDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();