Iveda Solutions (IVDA) Shares Outstanding (Diluted) (2009 - 2026)
Iveda Solutions (IVDA) reported Weighted Average Shares Outstanding (Diluted) of 11.82 million for Q2 2026, up 316.7% from 2.84 million a year earlier and up 32.4% from the prior quarter.
Iveda Solutions (IVDA) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Iveda Solutions posted Weighted Average Shares Outstanding (Diluted) of 3.64 million, up 65.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 2.2 million in FY2024 (+10.4%), 2 million in FY2023 (+24.3%), 1.61 million in FY2022 (+43.7%) and 1.12 million in FY2021 (+38.3%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q3 2020.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 20 quarters, with growth averaging 92.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 1.9% in Q2 2024 to 316.7% in Q2 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at 8.93 million (Q1 2026), 3.64 million (Q4 2025) and 3.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | 742.60 Mn |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | 375.01 Mn |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | 178.81 Mn |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | 82.00 Mn |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn | 42.88 Mn |
| 10 | Iveda Solutions | 250,380.60 | -18.82 Mn | 438,562.00 | 1.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Mn |
| Mar 31, 2026 | 1.19 Mn |
| Dec 31, 2025 | 485,415.33 |
| Sep 30, 2025 | 406,100.40 |
| Jun 30, 2025 | 378,296.80 |
| Mar 31, 2025 | 374,409.47 |
| Dec 31, 2024 | 293,852.40 |
| Sep 30, 2024 | 282,040.93 |
| Jun 30, 2024 | 270,720.40 |
| Mar 31, 2024 | 269,498.13 |
| Dec 31, 2023 | 266,223.73 |
| Sep 30, 2023 | 266,498.13 |
| Jun 30, 2023 | 265,687.73 |
| Mar 31, 2023 | 258,161.47 |
| Dec 31, 2022 | 214,114.13 |
| Sep 30, 2022 | 249,445.60 |
| Jun 30, 2022 | 194,621.07 |
| Mar 31, 2022 | 161,208.53 |
| Dec 31, 2021 | 149,006.13 |
| Sep 30, 2021 | 144,961.73 |
Iveda Solutions 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=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "IVDA", "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=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();