Fluor FLR
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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
Fluor (FLR) Business Model and Operations Summary
Fluor Corporation provides engineering, procurement, and construction (EPC); fabrication and modularization; operation and maintenance; asset integrity; and project management services worldwide. It operates through four segments: Energy Solutions, Urban Solutions, Mission Solutions, and Other. The Energy Solutions provides solutions to the energy transition markets, including asset decarbonization, carbon capture, renewable fuels, waste-to-energy, green chemicals, hydrogen, nuclear power, and other low-carbon energy sources. It also provides consulting services, including feasibility studies, process assessments, and project finance structuring; and a range of services for small modular reactor technologies, as well as operation support services for nuclear power facilities and managing waste. This segment serves the oil, gas, and petrochemical industries. The Urban Solutions segment offers EPC and project management services to the infrastructure, advanced technologies, life sciences, and mining and metals industries. This segment also provides staffing services to the company and third-party clients with technical, professional, and craft resources on a contract or permanent placement basis. The Mission Solutions offers technical solutions to the U.S. and other governments. It also delivers solutions for nuclear security and operation, nuclear waste management, and laboratory management; and operation and maintenance, logistics, EPC, and life support solutions for mission-critical facilities across U.S. military service organizations. This segment offers site management, environmental remediation, and decommissioning for nuclear remediation at governmental facilities, as well as services to commercial nuclear clients. The Other segment researches, develops, licenses, and commercializes small modular nuclear reactor technology. It also provides unionized management and construction services. The company was founded in 1912 and is headquartered in Irving, Texas.
Key Insights
Fluor (FLR) Core Market Data and Business Metrics
Latest Closing Price
$37.9Market Cap
$6.18 BillionAverage Trade Volume
3,125,240 SharesTotal Outstanding Shares
164.67 Million SharesCEO
Mr. David Edward Constable B.Sc.Total Employees
26,866IPO Date
October 28, 1957SIC Description
Heavy Construction Other Than Bldg Const - ContractorsPrimary Exchange
New York Stock ExchangeHeadquarters
6700 Las Colinas Blvd, Irving, TX, 75039
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
Historical Stock Splits
Execution Date | Split Amount |
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