Iveda Solutions (IVDA) Property, Plant & Equipment (Net) (2009 - 2026)
Iveda Solutions' Property, Plant & Equipment (Net) was $35,325 in Q2 2026, down 41.8% from $60,720 a year earlier and down 14.1% from the prior quarter.
Iveda Solutions (IVDA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Iveda Solutions came in at $47,093, down 31.4% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $68,677 in FY2024 (-30.3%), $98,575 in FY2023 (+199.5%), $32,911 in FY2022 (-13.8%) and $38,189 in FY2021 (+73.4%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for eight straight quarters, with an average decline of 56.0% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2023 (growth of 442.4%); the worst was Q2 2025 (a decline of 94.8%).
- Per Business Quant data, IVDA's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $41,147 (Q1 2026), $47,093 (Q4 2025) and $53,201 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | 207.98 Mn |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | 1.73 Bn |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | 438.17 Mn |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | 753.00 Mn |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | 33.00 Mn |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | 38.99 Mn |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn | 4.20 Bn |
| 10 | Iveda Solutions | 250,380.60 | -18.82 Mn | 438,562.00 | 35,325.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35,325.00 |
| Mar 31, 2026 | 41,147.00 |
| Dec 31, 2025 | 47,093.00 |
| Sep 30, 2025 | 53,201.00 |
| Jun 30, 2025 | 60,720.00 |
| Mar 31, 2025 | 64,597.00 |
| Dec 31, 2024 | 68,677.00 |
| Sep 30, 2024 | 76,988.00 |
| Jun 30, 2024 | 1.18 Mn |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 98,575.00 |
| Sep 30, 2023 | 651,931.00 |
| Jun 30, 2023 | 465,182.00 |
| Mar 31, 2023 | 204,516.00 |
| Dec 31, 2022 | 32,911.00 |
| Sep 30, 2022 | 28,702.00 |
| Jun 30, 2022 | 31,194.00 |
| Mar 31, 2022 | 37,705.00 |
| Dec 31, 2021 | 38,189.00 |
| Sep 30, 2021 | 28,897.00 |
Iveda Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();