Iveda Solutions (IVDA) Total Current Liabilities (2010 - 2026)
Iveda Solutions (IVDA) recorded Total Current Liabilities of $1.28 million in Q2 2026, down 46.6% from $2.4 million a year earlier and down 22.6% from the prior quarter.
Iveda Solutions (IVDA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Iveda Solutions reported Total Current Liabilities of $1.27 million, down 44.8% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -22.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $2.3 million in FY2024 (+38.6%), $1.66 million in FY2023 (-21.2%), $2.1 million in FY2022 (-38.6%) and $3.43 million in FY2021 (-24.5%).
- Quarterly Total Current Liabilities has ranged from $1.27 million in Q4 2025 to $4.27 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for four consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 132.4% in Q3 2024, against a decline of 64.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.66 million (Q1 2026), $1.27 million (Q4 2025) and $1.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.03 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 1.40 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Iveda Solutions | 3.76 Mn | -15.32 Mn | 438,562.00 | 1.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Mn |
| Mar 31, 2026 | 1.66 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | 2.40 Mn |
| Mar 31, 2025 | 2.34 Mn |
| Dec 31, 2024 | 2.30 Mn |
| Sep 30, 2024 | 3.11 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 1.48 Mn |
| Dec 31, 2023 | 1.66 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 2.70 Mn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 2.10 Mn |
| Sep 30, 2022 | 3.79 Mn |
| Jun 30, 2022 | 2.76 Mn |
| Mar 31, 2022 | 3.63 Mn |
| Dec 31, 2021 | 3.43 Mn |
| Sep 30, 2021 | 4.27 Mn |
Iveda Solutions Total Current Liabilities 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=total-current-liabilities&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();