Net Lease Office Properties NLOP
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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
Net Lease Office Properties (NLOP) Business Model and Operations Summary
Net Lease Office Properties is a Maryland real estate investment trust that, together with its consolidated subsidiaries, owns a diversified portfolio of office properties that are primarily leased to corporate tenants on a single-tenant, net-lease basis. Its net leases generally specify a base rent with rent increases and require the tenant to pay substantially all costs associated with operating and maintaining the property. Its portfolio includes approximately 1.2 million square feet of Green-Certified Buildings, 2 LEED-certified buildings, and 1 BREEAM-certified building.
Key Insights
Net Lease Office Properties (NLOP) Core Market Data and Business Metrics
Latest Closing Price
$31.21Market Cap
$465.46 MillionTotal Outstanding Shares
14.81 Million SharesTotal Employees
197IPO Date
October 27, 2023SIC Description
Real Estate Investment TrustsPrimary Exchange
New York Stock ExchangeHeadquarters
C/o W. P. Carey Inc., New York, NY, 10001
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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