CoStar Group CSGP
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
CoStar Group (CSGP) Business Model and Operations Summary
CoStar Group, Inc. provides information, analytics, and online marketplace services to the commercial real estate, hospitality, residential, and related professionals industries in the United States, Canada, Europe, the Asia Pacific, and Latin America. It offers CoStar Property that provides inventory of office, industrial, retail, multifamily, hospitality, and student housing properties and land; CoStar COMPS, a robust database of comparable commercial real estate sales transactions; CoStar Market Analytics to view and report on aggregated market and submarket trends; and CoStar Tenant, an online business-to-business prospecting and analytical tool that provides tenant information. The company also provides Lease Comps and Analysis, a tool to capture, manage, and maintain lease data; CoStar Lease Analysis; Public Record, a searchable database of commercially-zoned parcels; CoStar Real Estate Manager, a real estate lease administration, portfolio management, and lease accounting compliance software solution; and CoStar Risk Analytics and CoStar Investment. In addition, it offers apartment marketing sites, such as ApartmentFinder.com, ForRent.com, ApartmentHomeLiving.com, WestsideRentals.com, AFTER55.com, CorporateHousing.com, ForRentUniversity.com, Apartamentos.com, and Off Campus Partners; LoopNet Premium Lister; LoopNet Diamond, Platinum, and Gold Ads; LandsofAmerica.com, LandAndFarm.com, and LandWatch.com for rural land for-sale; BizBuySell.com, BizQuest.com, and FindaFranchise.com for operating businesses and franchises for-sale; Ten-X, an online auction platform for commercial real estate; and HomeSnap, an online and mobile software platform, as well as Homes.com, a homes for sale listings site. CoStar Group, Inc. was founded in 1987 and is headquartered in Washington, the District of Columbia.
Key Insights
CoStar Group (CSGP) Core Market Data and Business Metrics
Latest Closing Price
$75.69Market Cap
$31.78 BillionAverage Trade Volume
3,959,267.4 SharesTotal Outstanding Shares
421.89 Million SharesCEO
Mr. Andrew C. FloranceTotal Employees
6,152IPO Date
July 1, 1998SIC Description
Services-business Services, NecPrimary Exchange
NASDAQHeadquarters
1331 L Street, Nw, Washington, DC, 20005
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Segment | Revenue | YoY Change |
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Historical Stock Splits
Execution Date | Split Amount |
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Historical Dividends
Announcement Date | Payment Date | Record Date | Amount | Frequency |
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No historical dividends |