Casey's General Stores CASY
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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
Casey's General Stores (CASY) Business Model and Operations Summary
Casey's serves as the nation's third-largest convenience store chain with its 2,900 locations primarily positioned in the Midwest United States. About half of Casey's stores are located in rural towns with populations under 5,000. While fueling stations serve as a key traffic driver, about two thirds of the company's gross profit stems from in-store sales of grocery items, prepared meals, and general merchandise. Casey's owns more than 90% of its stores and operates most of its warehousing and distribution processes internally.
Key Insights
Casey's General Stores (CASY) Core Market Data and Business Metrics
Latest Closing Price
$437.76Market Cap
$16.29 BillionTotal Outstanding Shares
37.12 Million SharesTotal Employees
45,359IPO Date
October 20, 1983SIC Description
Retail-auto Dealers & Gasoline StationsPrimary Exchange
NASDAQHeadquarters
Po Box 3001, Ankeny, IA, 50021
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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