Iveda Solutions (IVDA) Shares Outstanding (Entity) (2010 - 2026)
Iveda Solutions (IVDA) reported Shares Outstanding (Entity) of 12.52 million for Q2 2026, up 330.7% from 2.91 million a year earlier and up 40.2% from the prior quarter.
Iveda Solutions (IVDA) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Iveda Solutions posted Shares Outstanding (Entity) of 3.64 million, up 65.2% from FY2024.
- Shares Outstanding (Entity) has increased for five consecutive years, with a five-year compound annual growth rate of 34.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 2.2 million in FY2024 (+9.0%), 2.02 million in FY2023 (+7.3%), 1.88 million in FY2022 (+55.8%) and 1.21 million in FY2021 (+46.8%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2010.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 20 quarters, with growth averaging 93.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 1.0% (Q1 2024) to 330.7% (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 (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | 352.46 Mn |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | 734.60 Mn |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | 361.02 Mn |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | 163.06 Mn |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | 167.14 Mn |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | 80.56 Mn |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn | - |
| 10 | Iveda Solutions | 250,380.60 | -18.82 Mn | 438,562.00 | 1.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Mn |
| Mar 31, 2026 | 892,736.00 |
| Dec 31, 2025 | 364,062.00 |
| Sep 30, 2025 | 304,575.00 |
| Jun 30, 2025 | 290,673.00 |
| Mar 31, 2025 | 280,807.00 |
| Dec 31, 2024 | 220,389.00 |
| Sep 30, 2024 | 200,673.00 |
| Jun 30, 2024 | 169,478.00 |
| Mar 31, 2024 | 168,436.00 |
| Dec 31, 2023 | 168,436.00 |
| Jun 30, 2021 | 224,977.00 |
| Mar 31, 2021 | 180,240.00 |
| Dec 31, 2020 | 164,598.00 |
| Sep 30, 2020 | 160,629.00 |
| Jun 30, 2016 | 94,435.00 |
| Mar 31, 2016 | 88,005.00 |
| Dec 31, 2015 | 87,209.00 |
| Sep 30, 2015 | 86,530.00 |
| Jun 30, 2015 | 85,787.00 |
Iveda Solutions Shares Outstanding (Entity) 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-entity&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();