Iveda Solutions (IVDA) Other Accumulated Expenses (2009 - 2025)
Iveda Solutions' Other Accumulated Expenses came in at $312,166 for Q3 2025, down 62.9% from the prior quarter.
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Analysis
Iveda Solutions (IVDA) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2024, Iveda Solutions' Other Accumulated Expenses was $981,769, up 9.1% from FY2023.
- Going back by year, Other Accumulated Expenses was $899,755 in FY2023.
- Business Quant data shows IVDA's Other Accumulated Expenses at $840,463 (Q2 2025), $881,460 (Q1 2025) and $981,769 (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn |
| 10 | Iveda Solutions | 250,380.60 | -18.82 Mn | 438,562.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 312,166.00 |
| Jun 30, 2025 | 840,463.00 |
| Mar 31, 2025 | 881,460.00 |
| Dec 31, 2024 | 981,769.00 |
| Dec 31, 2023 | 899,755.00 |
| Sep 30, 2022 | 300.00 Mn |
| Jun 30, 2022 | 300.00 Bn |
| Mar 31, 2022 | 300.00 Mn |
| Dec 31, 2021 | 300.00 Mn |
| Sep 30, 2021 | 300.00 Mn |
| Dec 31, 2020 | 512.71 Mn |
| Jun 30, 2016 | 440.00 Bn |
| Mar 31, 2016 | 430.00 Bn |
| Dec 31, 2015 | 714.82 Bn |
| Sep 30, 2015 | 798.44 Mn |
| Jun 30, 2015 | 430.00 Mn |
| Mar 31, 2015 | 430.00 Mn |
| Dec 31, 2014 | 575.00 Bn |
| Sep 30, 2014 | 430.00 Mn |
| Jun 30, 2014 | 100.00 Mn |
API Access
Iveda Solutions Other Accumulated Expenses 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=other-accumulated-expenses&ticker=IVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();