Logo SINA — SINA Corporation

SINA — SINA Corporation USA

TechnologyInternet Content & Information

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Currency in USD
Key statistics
Basic
Not enough data for Risks (Volatility).
Not enough data for Beta calculations.
Market capital
$2.95B
Employees
9,207
Money
Not enough data for Earnings per share statistics.
Not enough data for Book Value calculations.
Wall Street price
$60.05
PE Ratio
23.80
Dividends
Volume & Social
Short Ratio
1.41%
Daily Volume
777,900
Volume
Average
Social Rate
Untracked
Social Volume
Untracked
 
Latest SINA news
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[[ item.description ]]
Invest ideas
7 ideas for buy
41.43%
Wall Street Higher
Fundamental signal
The price is expected to raise
$1.78
Earnings are positive
Fundamental signal
Earnings per share are positive
38.04x
EPS higher than industry
Fundamental signal
Earnings Per Share Ratio is higher than industry average.
34.71x
EPS higher than sector
Fundamental signal
Earnings Per Share Ratio is higher than sector.
0.47x
PB Ratio lower than sector
Fundamental signal
Price-to-Book lower than sector.
-41.35%
Short Ratio lower than industry
Fundamental signal
Short Interest Ratio is lower than industry.
-43.37%
Short Ratio lower than sector
Fundamental signal
Short Interest Ratio lower than sector.
4 ideas for sell
0.47x
PB Ratio higher than industry
Fundamental signal
Price-to-Book Ratio is higher than industry.
17.15%
Sector costly
Fundamental signal
PE Ratio is higher than sector.
11.46%
Industry costly
Fundamental signal
PE Ratio is higher than industry.
-28.85%
Below SMA 200
Technical signal
The price is below SMA for 200 days period
Invest Ideas — the best way to get insights based on both fundamental and technical data. We analyze company's performance across sector and industry and generate investing ideas for you.
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Most and less correlated stocks. All correllations are calculated for 1 year period. Learn more about correlations.
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Correlation
97.40%
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Correlation
96.50%
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Correlation
95.60%
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Correlation
95.30%
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Correlation
95.30%
UB Rating
Correlation
95.00%
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Correlation
95.00%
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Correlation
95.00%
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Correlation
94.80%
UB Rating
Opposite (less correlated) stocks
Correlation
−100.00%
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Correlation
−95.60%
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Correlation
−94.70%
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Correlation
−94.60%
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Correlation
−94.40%
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Correlation
−93.60%
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Correlation
−93.50%
UB Rating
Correlation
−93.40%
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Correlation
−93.10%
UB Rating
Correlation
−92.90%
UB Rating
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]]
 

SINA Corporation operates as an online media company in the People's Republic of China and internationally. The company operates SINA.com, an online media property that provides region-focused format and content, including feeds from news providers; business news coverage and personal finance columns; multimedia news; sporting events information; entertainment news and events; automobile-related news and service information; technology updates; interactive video products, such as news, sports, and entertainment; and education, digital, fashion, luxury, health, collectibles, travel, and other interest-based channels. It also offers SINA mobile, a mobile portal, which provides news information and entertainment content from SINA.com for mobile users in mobile browser and application format. In addition, it operates Weibo.com that offers discovery products to help users discover content; self-expression products to enable users to express themselves on Weibo platform; social products to promote social interaction between users on Weibo platform; advertising and marketing solutions; and tools and services. Further, the company offers online loan facilitation and payment, VIP membership, live streaming, and game-related services. SINA Corporation was founded in 1993 and is headquartered in Beijing, the People's Republic of China.

Sector: Technology
Full Time Employees: 9,207
Avg
0.82 2.69 3.45
High
0.96 3.19 4.80
Low
0.52 2.12 2.37
Avg
584M 2.21B 2.45B
High
596M 2.29B 2.59B
Low
546M 2.11B 2.24B
  [[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'].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]]