Knife River KNF
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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
Knife River (KNF) Business Model and Operations Summary
Knife River Holding Co is an aggregates-led construction materials and contracting services provider. Its segments include Pacific, Northwest, Mountain, North Central, South, and Energy Services. Each geographic segment offers a vertically integrated suite of products and services, including aggregates, ready-mix concrete, asphalt, and contracting services, while the Energy Services segment, which has locations throughout the company's geographic footprint, produces and supplies liquid asphalt and related services, for use in asphalt road construction, and is a supplier to some of the other segments.
Key Insights
Knife River (KNF) Core Market Data and Business Metrics
Latest Closing Price
$94.1Market Cap
$5.62 BillionTotal Outstanding Shares
56.65 Million SharesTotal Employees
4,761IPO Date
May 25, 2023SIC Description
Mining & Quarrying Of Nonmetallic Minerals (no Fuels)Primary Exchange
New York Stock ExchangeHeadquarters
1150 W. Century Ave,, Bismarck, ND, 58503
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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