90.22% of the stock is owned by institutional investors. Shares of Plantronics Inc. (NYSE:PLT) traded up 3.56% during midday trading on Tuesday, reaching $56.77. The company’s stock had a trading volume of 89,345 …
BlackRock Inc. boosted its stake in Plantronics Inc. (NYSE:PLT) by 3.6% during the third quarter, according to its most recent filing with the SEC. The institutional investor owned 15,105 shares of the company’s stock
ax = df1.plot(title="Stock Prices", fontsize=12) ax.set_xlabel("Date") ax.set_ylabel("Price") plt.show() # slice by row via .ix[] selector def slice(): print(df1.ix['2016-01-01':'2016-01-31']) # Use a list of labels to select multiple …
Python
Rome, welfare institute INPS presents new portal with President Tito Boeri (0900 GMT) Banca Farmafactoring holds news conference to present listing project to Milan Stock Exchange main ... Parmalat, Piteco, PLT
Italy
SANTA CRUZ, Calif., March 21, 2017-- Plantronics, a pioneer in audio and wearable technology, today announced the new BackBeat 500 Series. The on-ear Bluetooth ® stereo headphones incorporate Plantronics ...
Plantronics Inc. (NYSE:PLT) CEO S Kenneth Kannappan sold 14,946 shares of the business's stock in a transaction on Tuesday, September 6th. The shares were sold at an average price of $51.00, for a total …
A motif is an intelligently weighted basket of up to 30 stocks and ETFs built around themes and investing styles. On our platform, you can buy shares of PLT not only as a single stock, but also as part of a motif.
A study of analyst recommendations at the major brokerages shows that Plantronics, Inc. (Symbol: PLT) is the #19 broker analyst pick among those stocks screened by The Online Investor for strong stock buyback …
NASDAQ10mon
Get daily under-the-radar research with StreetInsider.com's Stealth Growth Insider Get your 2-Wk Free Trial here. Plantronics (NYSE: PLT) reported Q1 EPS of $0.76, $0.06 better than the analyst estimate of $0.70. Revenue …
Finance using pandas, visualizing stock data, moving averages ... Import matplotlib import matplotlib.pyplot as plt from matplotlib.dates import date2num import pylab # This line is necessary for the plot to appear in a Jupyter …
Python