Logo VERI — Veritone Inc

VERI — Veritone Inc USA

TechnologySoftware-Infrastructure

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Currency in USD
Key statistics
Basic
Not enough data for Risks (Volatility).
Not enough data for Beta calculations.
Market capital
$753M
Employees
308
Money
Not enough data for Earnings per share statistics.
Not enough data for Book Value calculations.
Wall Street price
$38.17
PE Ratio
Dividends
Volume & Social
Short Ratio
3.89%
Daily Volume
459,508
Volume
Below average
Social Rate
Untracked
Social Volume
Untracked
 
Latest VERI news
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[[ item.description ]]
Invest ideas
1 ideas for buy
62.36%
Wall Street Higher
Fundamental signal
The price is expected to raise
6 ideas for sell
-$2.11
Earnings are negative
Fundamental signal
Earnings per share are negative
3.99x
PB Ratio higher than industry
Fundamental signal
Price-to-Book Ratio is higher than industry.
3.99x
PB Ratio higher than sector
Fundamental signal
Price-to-Book is higher than sector.
45.70%
Short Ratio higher than industry
Fundamental signal
Short Interest Ratio is higher than industry.
89.01%
Short Ratio higher than sector
Fundamental signal
Short Interest Ratio is higher than sector.
-0.38%
Below SMA 200
Technical signal
The price is below SMA for 200 days period
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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]]
 

Veritone, Inc., together with its subsidiaries, provides artificial intelligence (AI) computing solutions in the United States and the United Kingdom. The company develops and operates aiWARE platform, an AI operating system that uses machine learning algorithms or AI models, such as cognitive queries, predictions, correlations, and analyses in real-time using AI models in various categories comprising transcription, face recognition, and object recognition to reveal valuable insights from vast amounts of structured and unstructured data. It also provides media advertising agency services, including media planning and strategy, advertisement buying and placement, campaign messaging, clearance verification and attribution, and custom analytics directly to advertisers through outbound sales networking, and client and partner referrals, as well as indirectly through advertising agencies or marketing consultants. The company serves media and entertainment, government, legal and compliance, energy, and other vertical markets. It has a strategic relationship with Alteryx, Inc. to power the Alteryx analytic process automation platform with New, advanced AI capabilities. The company was formerly known as Veritone Delaware, Inc. and changed its name to Veritone, Inc. in July 2014. Veritone, Inc. was incorporated in 2014 and is headquartered in Denver, Colorado.

Sector: Technology
Full Time Employees: 308
Avg
0.22 0.00 -0.03 0.49
High
0.29 0.10 0.00 0.85
Low
0.20 -0.11 -0.11 0.13
Avg
44.9M 33.1M 105M 177M
High
45.3M 39.5M 105M 181M
Low
44.2M 27.4M 104M 170M
  [[fin.date | strtotimestamp | date: 'MMM d,yyyy']]
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'].epsRevisionsDownLast7days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsDownLast7days | number : 0]] [[financials['etrend']['0y'].epsRevisionsDownLast7days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsDownLast7days | number : 0]]
Down Last 90 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]]
 
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]]