Iveda Solutions (IVDA) Shares Outstanding (Diluted) (2020 - 2026)
Iveda Solutions (IVDA) reported 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) (2020 - 2026) Analysis & Trends
For FY2025, Iveda Solutions posted Shares Outstanding (Diluted) of 3.64 million, up 65.2% from FY2024.
- 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, 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 Shares Outstanding (Diluted) in data going back to Q3 2020.
- Year over year, 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 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 | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Iveda Solutions | 3.76 Mn | -15.32 Mn | 438,562.00 | 11.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.82 Mn |
| Mar 31, 2026 | 8.93 Mn |
| Dec 31, 2025 | 3.64 Mn |
| Sep 30, 2025 | 3.05 Mn |
| Jun 30, 2025 | 2.84 Mn |
| Mar 31, 2025 | 2.81 Mn |
| Dec 31, 2024 | 2.20 Mn |
| Sep 30, 2024 | 2.12 Mn |
| Jun 30, 2024 | 2.03 Mn |
| Mar 31, 2024 | 2.02 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 1.99 Mn |
| Mar 31, 2023 | 1.94 Mn |
| Dec 31, 2022 | 1.61 Mn |
| Sep 30, 2022 | 1.87 Mn |
| Jun 30, 2022 | 1.46 Mn |
| Mar 31, 2022 | 1.21 Mn |
| Dec 31, 2021 | 1.12 Mn |
| Sep 30, 2021 | 1.09 Mn |
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();