Snap-on SNA
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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
Snap-on (SNA) Business Model and Operations Summary
Snap-on Incorporated manufactures and markets tools, equipment, diagnostics, and repair information and systems solutions for professional users worldwide. It operates through Commercial & Industrial Group, Snap-on Tools Group, Repair Systems & Information Group, and Financial Services segments. The company offers hand tools, including wrenches, sockets, ratchet wrenches, pliers, screwdrivers, punches and chisels, saws and cutting tools, pruning tools, torque measuring instruments, and other products; power tools, such as cordless, pneumatic, hydraulic, and corded tools; and tool storage products comprising tool chests, roll cabinets, and other products. It also provides handheld and computer-based diagnostic products, service and repair information products, diagnostic software solutions, electronic parts catalogs, business management systems and services, point-of-sale systems, integrated systems for vehicle service shops, original equipment manufacturer purchasing facilitation services, and warranty management systems and analytics. In addition, the company offers solutions for the service of vehicles and industrial equipment that include wheel alignment equipment, wheel balancers, tire changers, vehicle lifts, test lane equipment, collision repair equipment, vehicle air conditioning service equipment, brake service equipment, fluid exchange equipment, transmission troubleshooting equipment, safety testing equipment, battery chargers, and hoists, as well as after-sales support services and training programs. Further, it provides financing programs to facilitate the sales of its products and support its franchise business. The company serves the aviation and aerospace, agriculture, construction, government and military, mining, natural resources, power generation, and technical education industries, as well as vehicle dealerships and repair centers. Snap-on Incorporated was founded in 1920 and is based in Kenosha, Wisconsin.
Key Insights
Snap-on (SNA) Core Market Data and Business Metrics
Latest Closing Price
$325.08Market Cap
$16.45 BillionAverage Trade Volume
425,082 SharesTotal Outstanding Shares
52.29 Million SharesCEO
Mr. Nicholas T. PinchukTotal Employees
13,000IPO Date
February 27, 1978SIC Description
Cutlery, Handtools & General HardwarePrimary Exchange
New York Stock ExchangeHeadquarters
2801 80th Street, Kenosha, WI, 53143
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 |