INTZ — Intrusion Inc USA

TechnologySoftware—Application

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Currency in USD
Key statistics
Basic
Not enough data for Risks (Volatility).
Not enough data for Beta calculations.
Market capital
$185M
Employees
32
Money
Not enough data for Earnings per share statistics.
Not enough data for Book Value calculations.
Wall Street price
$0.00
PE Ratio
548.50
Dividends
Volume & Social
Short Ratio
%
Daily Volume
49,837
Volume
Below average -
Social Rate
Untracked
Social Volume
Untracked
 
Latest INTZ news
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[[ item.description ]]
Invest ideas
2 ideas for buy
$0.03
Earnings are positive
Fundamental signal
Earnings per share are positive
48.80%
Above SMA 200
Technical signal
The price is above SMA for 200 days period
5 ideas for sell
-100.00%
Wall Street Lower
Fundamental signal
The price is expected to fall
73.95x
PB Ratio higher than industry
Fundamental signal
Price-to-Book Ratio is higher than industry.
73.95x
PB Ratio higher than sector
Fundamental signal
Price-to-Book is higher than sector.
2,720.60%
Industry costly
Fundamental signal
PE Ratio is higher than industry.
2,353.18%
Sector costly
Fundamental signal
PE Ratio is higher than sector.
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Income Statement
All numbers in thousands [[fin.date | strtotimestamp | date: 'MMM d, yyyy']]
Revenue
Total Revenue [[fin.totalRevenue / 1000 | number : 0]]
Cost of Revenue [[fin.costOfRevenue / 1000 | number : 0]]
Gross Profit [[fin.grossProfit / 1000 | number : 0]]
Operating Expenses
Research Development [[fin.researchDevelopment / 1000 | number : 0]]
Selling General and Administrative [[fin.sellingGeneralAdministrative / 1000 | number : 0]]
Non Recurring [[fin.nonRecurring / 1000 | number : 0]]
Others [[fin.otherOperatingExpenses / 1000 | number : 0]]
Total Operating Expenses [[fin.totalOperatingExpenses / 1000 | number : 0]]
Operating Income or Loss [[fin.operatingIncome / 1000 | number : 0]]
Income from Continuing Operations
Total Other Income/Expenses Net [[fin.totalOtherIncomeExpenseNet / 1000 | number : 0]]
Earnings Before Interest and Taxes [[fin.ebit / 1000 | number : 0]]
Interest Expense [[fin.interestExpense / 1000 | number : 0]]
Income Before Tax [[fin.incomeBeforeTax / 1000 | number : 0]]
Income Tax Expense [[fin.incomeTaxExpense / 1000 | number : 0]]
Minority Interest [[fin.minorityInterest / 1000 | number : 0]]
Net Income From Continuing Ops [[fin.netIncomeFromContinuingOps / 1000 | number : 0]]
Non-recurring Events
Discontinued Operations [[fin.discontinuedOperations / 1000 | number : 0]]
Extraordinary Items [[fin.extraordinaryItems / 1000 | number : 0]]
Effect Of Accounting Changes [[fin.effectOfAccountingCharges / 1000 | number : 0]]
Other Items [[fin.otherItems / 1000 | number : 0]]
Net Income
Net Income [[fin.netIncome / 1000 | number : 0]]
Net Income Applicable To Common Shares [[fin.netIncomeApplicableToCommonShares / 1000 | number : 0]]
Balance Sheet
All numbers in thousands [[fin.date | strtotimestamp | date: 'MMM d, yyyy']]
Current Assets  
Cash And Cash Equivalents [[fin.cash / 1000 | number : 0]]
Short Term Investments [[fin.shortTermInvestments / 1000 | number : 0]]
Net Receivables [[fin.netReceivables/ 1000 | number : 0]]
Inventory [[fin.inventory/ 1000 | number : 0]]
Other Current Assets [[fin.otherCurrentAssets/ 1000 | number : 0]]
Total Current Assets [[fin.totalCurrentAssets / 1000 | number : 0]]
Long Term Investments [[fin.longTermInvestments / 1000 | number : 0]]
Property Plant and Equipment [[fin.propertyPlantEquipment / 1000 | number : 0]]
Goodwill [[fin.goodWill / 1000 | number : 0]]
Intangible Assets [[fin.intangibleAssets / 1000 | number : 0]]
Other Assets [[fin.otherAssets / 1000 | number : 0]]
Total Assets [[fin.totalAssets / 1000 | number : 0]]
Current Liabilities
Accounts Payable [[fin.accountsPayable / 1000 | number : 0]]
Short/Current Long Term Debt [[fin.shortLongTermDebt / 1000 | number : 0]]
Other Current Liabilities [[fin.otherCurrentLiab / 1000 | number : 0]]
Total Current Liabilities [[fin.totalCurrentLiabilities / 1000 | number : 0]]
Long Term Debt [[fin.longTermDebt / 1000 | number : 0]]
Other Liabilities [[fin.otherLiab / 1000 | number : 0]]
Deferred Long Term Liability Charges [[fin.deferredLongTermLiab / 1000 | number : 0]]
Total Liabilities [[fin.totalLiab / 1000 | number : 0]]
Stockholders' Equity
Common Stock [[fin.commonStock / 1000 | number : 0]]
Retained Earnings [[fin.retainedEarnings / 1000 | number : 0]]
Other Stockholder Equity [[fin.otherStockholderEquity / 1000 | number : 0]]
Total Stockholder Equity [[fin.totalStockholderEquity / 1000 | number : 0]]
Net Tangible Assets [[fin.netTangibleAssets / 1000 | number : 0]]
Cash Flow Statement
All numbers in thousands [[fin.date | strtotimestamp | date: 'MMM d, yyyy']]
Net Income [[fin.netIncome/ 1000 | number : 0]]
Operating Activities, Cash Flows Provided By or Used In
Depreciation [[fin.depreciation / 1000 | number : 0]]
Adjustments To Net Income [[fin.changeToNetincome / 1000 | number : 0]]
Changes In Accounts Receivables [[fin.changeToAccountReceivables / 1000 | number : 0]]
Changes In Liabilities [[fin.changeToLiabilities / 1000 | number : 0]]
Changes In Inventories [[fin.changeToInventory / 1000 | number : 0]]
Changes In Other Operating Activities [[fin.changeToOperatingActivities / 1000 | number : 0]]
Total Cash Flow From Operating Activities [[fin.totalCashFromOperatingActivities / 1000 | number : 0]]
Investing Activities, Cash Flows Provided By or Used In
Capital Expenditures [[fin.capitalExpenditures / 1000 | number : 0]]
Investments [[fin.investments / 1000 | number : 0]]
Other Cash flows from Investing Activities [[fin.otherCashflowsFromInvestingActivities / 1000 | number : 0]]
Total Cash Flows From Investing Activities [[fin.totalCashflowsFromInvestingActivities / 1000 | number : 0]]
Financing Activities, Cash Flows Provided By or Used In
Dividends Paid [[fin.dividendsPaid / 1000 | number : 0]]
Sale Purchase of Stock [[fin.salePurchaseOfStock / 1000 | number : 0]]
Net Borrowings [[fin.netBorrowings / 1000 | number : 0]]
Other Cash Flows from Financing Activities [[fin.otherCashflowsFromFinancingActivities / 1000 | number : 0]]
Total Cash Flows From Financing Activities [[fin.totalCashFromFinancingActivities / 1000 | number : 0]]
Change In Cash and Cash Equivalents [[fin.changeInCash / 1000 | number : 0]]
 

Intrusion Inc. develops, markets, and supports entity identification, high speed data mining, cybercrime and advanced persistent threat detection, regulated information compliance, and data privacy protection products in the United States. Its product portfolio comprises TraceCop, which includes a database of worldwide IP addresses that aid in the identification and location of individuals involved in cybercrime, and analysis software and a GUI interface to assist analysts in locating cybercriminals and other bad guys; and Savant, a high-speed network data mining product that organizes the data into networks of relationships and associations. The company also offers Compliance Commander for regulated information and data privacy protection. In addition, it resells third-party products, such as computers and servers for the implementation of its software into customer networks, as well as provides installation and threat data interpretation services. The company's customers primarily include the United States federal government and local government entities, banks, credit unions, other financial institutions, hospitals and other healthcare providers, and other customers. Intrusion Inc. markets and distributes its products through a direct sales force to end-users, distributors, system integrators, managed service providers, and value-added resellers. The company was formerly known as Intrusion.com, Inc. and changed its name to Intrusion Inc. in November 2001. Intrusion Inc. was founded in 1983 and is headquartered in Richardson, Texas.

Sector: Technology
Full Time Employees: 32
Avg
High
Low
Avg
High
Low
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Earnings History
Earnings Actual [[fin.epsActual | number : 2]]
Earnings Estimate [[fin.epsEstimate | number : 2]]
Difference [[fin.epsDifference | number : 2]]
Surprise [[fin.surprisePercent | number : 1]]%
  Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
Earnings Estimate
Number of Analysts [[financials['etrend']['0q'].earningsEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1q'].earningsEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['0y'].earningsEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1y'].earningsEstimateNumberOfAnalysts | number : 0]]
Estimate Average [[financials['etrend']['0q'].earningsEstimateAvg | number : 2]] [[financials['etrend']['+1q'].earningsEstimateAvg | number : 2]] [[financials['etrend']['0y'].earningsEstimateAvg | number : 2]] [[financials['etrend']['+1y'].earningsEstimateAvg | number : 2]]
Estimate High [[financials['etrend']['0q'].earningsEstimateHigh | number : 2]] [[financials['etrend']['+1q'].earningsEstimateHigh | number : 2]] [[financials['etrend']['0y'].earningsEstimateHigh | number : 2]] [[financials['etrend']['+1y'].earningsEstimateHigh | number : 2]]
Estimate Low [[financials['etrend']['0q'].earningsEstimateLow | number : 2]] [[financials['etrend']['0q'].earningsEstimateLow | number : 2]] [[financials['etrend']['0y'].earningsEstimateLow | number : 2]] [[financials['etrend']['+1y'].earningsEstimateLow | number : 2]]
Estimate Growth [[financials['etrend']['0q'].earningsEstimateGrowth | number : 2]] [[financials['etrend']['+1q'].earningsEstimateGrowth | number : 2]] [[financials['etrend']['0y'].earningsEstimateGrowth | number : 2]] [[financials['etrend']['+1y'].earningsEstimateGrowth | number : 2]]
Year Ago EPS [[financials['etrend']['0q'].earningsEstimateYearAgoEps | number : 2]] [[financials['etrend']['+1q'].earningsEstimateYearAgoEps | number : 2]] [[financials['etrend']['0y'].earningsEstimateYearAgoEps | number : 2]] [[financials['etrend']['+1y'].earningsEstimateYearAgoEps | number : 2]]
All numbers in thousands (except analysts) Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
Revenue Estimate
Number of Analysts [[financials['etrend']['0q'].revenueEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1q'].revenueEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['0y'].revenueEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1y'].revenueEstimateNumberOfAnalysts | number : 0]]
Estimate Average [[financials['etrend']['0q'].revenueEstimateAvg / 1000 | number : 0]] [[financials['etrend']['+1q'].revenueEstimateAvg / 1000 | number : 0]] [[financials['etrend']['0y'].revenueEstimateAvg / 1000 | number : 0]] [[financials['etrend']['+1y'].revenueEstimateAvg / 1000 | number : 0]]
Estimate High [[financials['etrend']['0q'].revenueEstimateHigh / 1000 | number : 0]] [[financials['etrend']['+1q'].revenueEstimateHigh / 1000 | number : 0]] [[financials['etrend']['0y'].revenueEstimateHigh / 1000 | number : 0]] [[financials['etrend']['+1y'].revenueEstimateHigh / 1000 | number : 0]]
Estimate Low [[financials['etrend']['0q'].revenueEstimateLow / 1000 | number : 0]] [[financials['etrend']['0q'].revenueEstimateLow / 1000 | number : 0]] [[financials['etrend']['0y'].revenueEstimateLow / 1000 | number : 0]] [[financials['etrend']['+1y'].revenueEstimateLow / 1000 | number : 0]]
Estimate Growth [[financials['etrend']['0q'].revenueEstimateGrowth * 100 | number : 2]]% [[financials['etrend']['+1q'].revenueEstimateGrowth * 100 | number : 2]]% [[financials['etrend']['0y'].revenueEstimateGrowth * 100 | number : 2]]% [[financials['etrend']['+1y'].revenueEstimateGrowth * 100| number : 2]]%
Year Ago EPS [[financials['etrend']['0q'].revenueEstimateYearAgoEps | number : 0]] [[financials['etrend']['+1q'].revenueEstimateYearAgoEps | number : 0]] [[financials['etrend']['0y'].revenueEstimateYearAgoEps | number : 0]] [[financials['etrend']['+1y'].revenueEstimateYearAgoEps | number : 0]]
Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
EPS Trend
Current Estimate [[financials['etrend']['0q'].epsTrendCurrent | number : 2]] [[financials['etrend']['+1q'].epsTrendCurrent | number : 2]] [[financials['etrend']['0y'].epsTrendCurrent | number : 2]] [[financials['etrend']['+1y'].epsTrendCurrent | number : 2]]
7 Days Ago [[financials['etrend']['0q'].epsTrend7daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend7daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend7daysAgo| number : 2]] [[financials['etrend']['+1y'].epsTrend7daysAgo | number : 2]]
30 Days Ago [[financials['etrend']['0q'].epsTrend30daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend30daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend30daysAgo | number : 2]] [[financials['etrend']['+1y'].epsTrend30daysAgo | number : 2]]
60 Days Ago [[financials['etrend']['0q'].epsTrend60daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend60daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend60daysAgo | number : 2]] [[financials['etrend']['+1y'].epsTrend60daysAgo | number : 2]]
90 Days Ago [[financials['etrend']['0q'].epsTrend90daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend90daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend90daysAgo | number : 2]] [[financials['etrend']['+1y'].epsTrend90daysAgo | number : 2]]
Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
EPS Revisions
Up Last 7 Days [[financials['etrend']['0q'].epsRevisionsUpLast7days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsUpLast7days | number : 0]] [[financials['etrend']['0y'].epsRevisionsUpLast7days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsUpLast7days | number : 0]]
Up Last 30 Days [[financials['etrend']['0q'].epsRevisionsUpLast30days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsUpLast30days | number : 0]] [[financials['etrend']['0y'].epsRevisionsUpLast30days| number : 0]] [[financials['etrend']['+1y'].epsRevisionsUpLast30days | number : 0]]
Down Last 30 Days [[financials['etrend']['0q'].epsRevisionsDownLast30days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsDownLast30days | number : 0]] [[financials['etrend']['0y'].epsRevisionsDownLast30days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsDownLast30days | number : 0]]
Down Last 90 Days [[financials['etrend']['0q'].epsRevisionsDownLast90days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsDownLast90days | number : 0]] [[financials['etrend']['0y'].epsRevisionsDownLast90days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsDownLast90days | number : 0]]
 
Date Open High Low Close Volume
[[data.Date]] [[data.Open | number : 2]] [[data.High | number : 2]] [[data.Low | number : 2]] [[data.Close | number : 2]] [[data.Volume | number : 0]]