Victorias Secret & Co. VSCO
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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
Victorias Secret & Co. (VSCO) Business Model and Operations Summary
Victoria's Secret & Co. operates as a specialty retailer of women's intimate, personal care, and beauty products worldwide. The company offers bras, panties, lingerie, sleepwear, loungewear, and athletic attire and swimwear, as well as fragrances and body care products, and accessories under the Victoria's Secret and PINK brands. As of March 2, 2022, it operated approximately 1,400 retail stores. The company was incorporated in 2021 and is headquartered in Reynoldsburg, Ohio.
Key Insights
Victorias Secret & Co. (VSCO) Core Market Data and Business Metrics
Latest Closing Price
$21.21Market Cap
$1.80 BillionAverage Trade Volume
3,312,945 SharesTotal Outstanding Shares
79.84 Million SharesCEO
Ms. Hillary SuperTotal Employees
31,000IPO Date
July 21, 2021SIC Description
Retail-women's Clothing StoresPrimary Exchange
New York Stock ExchangeHeadquarters
4 Limited Parkway East, Reynoldsburg, OH, 43068
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
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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