New York Times Co. NYT
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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
New York Times Co. (NYT) Business Model and Operations Summary
New York Times Co is an American media company known for publishing its flagship newspaper, The New York Times. The company also operates the International New York Times newspaper, as well as digital properties such as NYTimes and various smartphone applications. The company has two segments: New York Times Group and The Athletic. The company generates the majority of its revenue from the NYTG segment. The NYTG and The Athletic segments derive revenue from subscriptions, Advertising, and others, where the majority source of revenue for both segments is subscription.
Key Insights
New York Times Co. (NYT) Core Market Data and Business Metrics
Latest Closing Price
$56.05Market Cap
$9.04 BillionTotal Outstanding Shares
162.27 Million SharesTotal Employees
5,900IPO Date
June 1, 1972SIC Description
Newspapers: Publishing Or Publishing & PrintingPrimary Exchange
New York Stock ExchangeHeadquarters
620 Eighth Avenue, New York, NY, 10018
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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