Intellicheck (IDN) Non Operating Interest Expenses (2010 - 2015)
Intellicheck's Non Operating Interest Expenses came in at $10.00 for Q4 2015, down 98.3% from the prior quarter.
Analysis
Intellicheck (IDN) Non Operating Interest Expenses (2010 - 2015) Analysis & Trends
For FY2015, Intellicheck's Non Operating Interest Expenses was $3,317.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -33.1% (FY2010 to FY2015).
- Going back by year, Non Operating Interest Expenses was $8,667 in FY2011 (-65.1%).
- The Q4 2015 figure represents the lowest quarterly Non Operating Interest Expenses since Q2 2010.
- Business Quant data shows IDN's Non Operating Interest Expenses at $572.00 (Q3 2015), $556.00 (Q2 2015) and $2,179 (Q1 2015) in the three quarters before Q4 2015.
Peer Set
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 | Intellicheck | 46.58 Mn | 7.81 Mn | 5.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 10.00 |
| Sep 30, 2015 | 572.00 |
| Jun 30, 2015 | 556.00 |
| Mar 31, 2015 | 2,179.00 |
| Mar 31, 2014 | 79.00 |
| Sep 30, 2011 | 3,667.00 |
| Jun 30, 2011 | 2,500.00 |
| Mar 31, 2011 | 2,500.00 |
| Dec 31, 2010 | 2,500.00 |
| Sep 30, 2010 | 7,308.00 |
| Jun 30, 2010 | -7,500.00 |
API Access
Intellicheck 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=IDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "IDN", "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=IDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();