Iveda Solutions (IVDA) Receivables (2009 - 2026)
Iveda Solutions (IVDA) recorded Receivables of $303,450 in Q2 2026, down 77.8% from $1.37 million a year earlier and down 59.3% from the prior quarter.
Iveda Solutions (IVDA) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Iveda Solutions reported Receivables of $256,699, down 82.6% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $1.48 million in FY2024 (+425.8%), $281,049 in FY2023 (-77.0%), $1.22 million in FY2022 (+148.1%) and $492,752 in FY2021 (+117.4%).
- Quarterly Receivables has ranged from $122,602 in Q2 2022 to $2.16 million in Q3 2024 over the past five years.
- On a year-over-year basis, Receivables has declined for four consecutive quarters, with growth averaging 127.4% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 547.8% in Q4 2021, against a decline of 82.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $745,311 (Q1 2026), $256,699 (Q4 2025) and $1.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | 4.17 Bn |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | 1.43 Bn |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | 718.46 Mn |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | 1.46 Bn |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | 963.88 Mn |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | 1.15 Bn |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | 469.00 Mn |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | 483.22 Mn |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn | 1.99 Bn |
| 10 | Iveda Solutions | 250,380.60 | -18.82 Mn | 438,562.00 | 303,450.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303,450.00 |
| Mar 31, 2026 | 745,311.00 |
| Dec 31, 2025 | 256,699.00 |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 1.48 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 1.07 Mn |
| Mar 31, 2024 | 203,919.00 |
| Dec 31, 2023 | 281,049.00 |
| Sep 30, 2023 | 439,430.00 |
| Jun 30, 2023 | 236,931.00 |
| Mar 31, 2023 | 505,581.00 |
| Dec 31, 2022 | 1.22 Mn |
| Sep 30, 2022 | 636,354.00 |
| Jun 30, 2022 | 122,602.00 |
| Mar 31, 2022 | -7.22 Mn |
| Dec 31, 2021 | 492,752.00 |
| Sep 30, 2021 | 302,677.00 |
Iveda Solutions Receivables 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=receivables&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();