Iveda Solutions (IVDA) Change in Accrued Expenses (2009 - 2015)
Iveda Solutions (IVDA) posted Change in Accrued Expenses of -$564,155 for Q2 2012, compared with -$138,495 a year earlier.
Iveda Solutions (IVDA) Change in Accrued Expenses (2009 - 2015) Analysis & Trends
For the trailing twelve months through Jun 30, 2012, Change in Accrued Expenses at Iveda Solutions was -$198,869; for FY2011, it was $270,884.
- In prior years, Iveda Solutions' Change in Accrued Expenses was -$238,288 in FY2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | 38.00 Mn |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | 43.09 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
| Date | Value |
|---|---|
| Sep 30, 2015 | -149,045.00 |
| Jun 30, 2015 | 184,784.00 |
| Mar 31, 2015 | -231,689.00 |
| Dec 31, 2014 | -15,767.00 |
| Sep 30, 2014 | 271.64 Bn |
| Jun 30, 2014 | -271.64 Bn |
| Mar 31, 2014 | -23,641.00 |
| Dec 31, 2013 | 805,395.00 |
| Sep 30, 2013 | 47,390.00 |
| Jun 30, 2013 | -62,705.00 |
| Mar 31, 2013 | -423,574.00 |
| Dec 31, 2012 | 1.56 Mn |
| Sep 30, 2012 | 4,508.00 |
| Jun 30, 2012 | -564,155.00 |
| Mar 31, 2012 | 446,443.00 |
| Dec 31, 2011 | 578,511.00 |
| Sep 30, 2011 | -226,470.00 |
| Jun 30, 2011 | -138,495.00 |
| Mar 31, 2011 | 57,338.00 |
| Dec 31, 2010 | -16,194.00 |
Iveda Solutions Change in Accrued 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=change-in-accured-expenses&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();