Iveda Solutions (IVDA) Non Operating Interest Expenses (2010 - 2026)
Iveda Solutions (IVDA) recorded Non Operating Interest Expenses of $6,316 in Q2 2026, down 47.9% from $12,116 a year earlier but up 12.7% from the prior quarter.
Iveda Solutions (IVDA) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Iveda Solutions' Non Operating Interest Expenses came in at $30,518 as of Jun 30, 2026, down 11.8% year-over-year; for FY2025, it came in at $36,509, up 39.4% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -38.0% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $26,183 in FY2024 (+260.9%), $7,254 in FY2023 (-86.4%), $53,323 in FY2022 (-80.5%) and $273,649 in FY2021 (-31.4%).
- Quarterly Non Operating Interest Expenses has ranged from $517.00 in Q1 2023 to $29,337 in Q3 2021 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses has declined for three consecutive quarters, with growth averaging 125.5% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 728.8% in Q1 2024, against a decline of 96.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5,606 (Q1 2026), $7,022 (Q4 2025) and $11,574 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Iveda Solutions | 3.76 Mn | -15.32 Mn | 438,562.00 | 6,316.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,316.00 |
| Mar 31, 2026 | 5,606.00 |
| Dec 31, 2025 | 7,022.00 |
| Sep 30, 2025 | 11,574.00 |
| Jun 30, 2025 | 12,116.00 |
| Mar 31, 2025 | 5,796.00 |
| Dec 31, 2024 | 10,828.00 |
| Sep 30, 2024 | 5,846.00 |
| Jun 30, 2024 | 5,224.00 |
| Mar 31, 2024 | 4,285.00 |
| Dec 31, 2023 | 1,404.00 |
| Sep 30, 2023 | 2,306.00 |
| Jun 30, 2023 | 3,028.00 |
| Mar 31, 2023 | 517.00 |
| Dec 31, 2022 | 11,836.00 |
| Sep 30, 2022 | 15,175.00 |
| Jun 30, 2022 | 13,479.00 |
| Mar 31, 2022 | 12,833.00 |
| Dec 31, 2021 | 16,989.00 |
| Sep 30, 2021 | 29,337.00 |
Iveda Solutions Non Operating Interest 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=non-operating-interest-expenses&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();