US Foods USFD
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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
US Foods (USFD) Business Model and Operations Summary
US Foods Holding Corp is the U.S. food service distributor that distributes food and nonfood products to the healthcare and hospitality industries, restaurants, and education, government facilities, and grocers. It has nearly 250,000 restaurants and foodservice operators with more than 70 locations that provide customers with food offering and a comprehensive suite of e-commerce, technology, and business solutions. The company operates in one business segment in which it markets, sells and distributes fresh, frozen and dry food and non-food products to foodservice customers throughout the U.S.
Key Insights
US Foods (USFD) Core Market Data and Business Metrics
Latest Closing Price
$79.12Market Cap
$17.95 BillionTotal Outstanding Shares
231.35 Million SharesTotal Employees
30,000IPO Date
May 26, 2016SIC Description
Wholesale-groceries & Related ProductsPrimary Exchange
New York Stock ExchangeHeadquarters
9399 W. Higgins Rd., Rosemont, IL, 60018
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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